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(103 events)   Time zone: Conference local time zone  
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Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
Neuronal Adaptation for Sampling-Based Probabilistic Inference in Perceptual Bistability
In Poster Session
David Reichert · Peggy Series · Amos Storkey
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
History distribution matching method for predicting effectiveness of HIV combination therapies
In Poster Session
Jasmina Bogojeska
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
Convergent Fitted Value Iteration with Linear Function Approximation
In Poster Session
Daniel Lizotte
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
Action-Gap Phenomenon in Reinforcement Learning
In Poster Session
Amir-massoud Farahmand
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
Sparse Estimation with Structured Dictionaries
In Poster Session
David P Wipf
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
On the Completeness of First-Order Knowledge Compilation for Lifted Probabilistic Inference
In Poster Session
Guy Van den Broeck
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
Universal low-rank matrix recovery from Pauli measurements
In Poster Session
Yi-Kai Liu
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
The Fixed Points of Off-Policy TD
In Poster Session
J. Zico Kolter
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
On U-processes and clustering performance
In Poster Session
Stéphan Clémençon
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
Maximum Margin Multi-Label Structured Prediction
In Poster Session
Christoph Lampert
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
Inductive reasoning about chimeric creatures
In Poster Session
Charles Kemp
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
A blind sparse deconvolution method for neural spike identification
In Poster Session
Chaitanya Ekanadham · Daniel Tranchina · Eero Simoncelli
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
Composite Multiclass Losses
In Poster Session
Elodie Vernet · Robert Williamson · Mark Reid
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
A Two-Stage Weighting Framework for Multi-Source Domain Adaptation
In Poster Session
Qian Sun · Rita Chattopadhyay · Sethuraman Panchanathan · Jieping Ye
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
Image Parsing with Stochastic Scene Grammar
In Poster Session
Yibiao Zhao · Song-Chun Zhu
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
Inferring Interaction Networks using the IBP applied to microRNA Target Prediction
In Poster Session
Hai-Son P Le · Ziv Bar-Joseph
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
Identifying Alzheimer's Disease-Related Brain Regions from Multi-Modality Neuroimaging Data using Sparse Composite Linear Discrimination Analysis
In Poster Session
Shuai Huang · Jing Li · Jieping Ye · Teresa Wu · Kewei Chen · Adam Fleisher · Eric Reiman
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
Hashing Algorithms for Large-Scale Learning
In Poster Session
Ping Li · Anshumali Shrivastava · Joshua L Moore · Arnd C König
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
Greedy Algorithms for Structurally Constrained High Dimensional Problems
In Poster Session
Ambuj Tewari · Pradeep Ravikumar · Inderjit Dhillon
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
Inference in continuous time changepoint point models
In Poster Session
Florian Stimberg · Manfred Opper · Guido Sanguinetti · Andreas Ruttor
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
Generalized Lasso based Approximation of Sparse Coding for Visual Recognition
In Poster Session
Nobuyuki Morioka · Shin'ichi Satoh
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
Generalizing from Several Related Classification Tasks to a New Unlabeled Sample
In Poster Session
Gilles Blanchard · Gyemin Lee · Clayton Scott
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
Generalization Bounds and Consistency for Latent Structural Probit and Ramp Loss
In Poster Session
David Mcallester · Joseph Keshet
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
EigenNet: A Bayesian hybrid of generative and conditional models for sparse learning
In Poster Session
Yuan Qi · Feng Yan
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
Environmental statistics and the trade-off between model-based and TD learning in humans
In Poster Session
Dylan A Simon · Nathaniel D Daw
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
Finite Time Analysis of Stratified Sampling for Monte Carlo
In Poster Session
Alexandra Carpentier · Remi Munos
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
Evaluating computational models of preference learning
In Poster Session
Alan Jern · Christopher G Lucas · Charles Kemp
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
Decoding of Finger Flexion from Electrocorticographic Signals Using Switching Non-Parametric Dynamic Systems
In Poster Session
Zuoguan Wang · Gerwin Schalk · Qiang Ji
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
Crowdclustering
In Poster Session
Ryan G Gomes · Peter Welinder · Andreas Krause · Pietro Perona
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
Comparative Analysis of Viterbi Training and Maximum Likelihood Estimation for HMMs
In Poster Session
Armen Allahverdyan · Aram Galstyan
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
Better Mini-Batch Algorithms via Accelerated Gradient Methods
In Poster Session
Andrew Cotter · Ohad Shamir · Nati Srebro · Karthik Sridharan
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
Contextual Gaussian Process Bandit Optimization
In Poster Session
Andreas Krause · Cheng Soon Ong
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
An Unsupervised Decontamination Procedure For Improving The Reliability Of Human Judgments
In Poster Session
Michael Mozer · Benjamin Link · Harold Pashler
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
An Empirical Evaluation of Thompson Sampling
In Poster Session
Olivier Chapelle · Lihong Li
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
Blending Autonomous Exploration and Apprenticeship Learning
In Poster Session
Thomas Walsh · Daniel K Hewlett · Clayton T Morrison
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
Autonomous Learning of Action Models for Planning
In Poster Session
Neville Mehta · Prasad Tadepalli · Alan Fern
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
Automated Refinement of Bayes Networks' Parameters based on Test Ordering Constraints
In Poster Session
Omar Z Khan · Pascal Poupart · John Agosta
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
Algorithms and hardness results for parallel large margin learning
In Poster Session
Rocco A Servedio · Phil Long
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
Adaptive Hedge
In Poster Session
Tim van Erven · Peter Grünwald · Wouter M Koolen · Steven D Rooij
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
A Non-Parametric Approach to Dynamic Programming
In Poster Session
Oliver Kroemer · Jan Peters
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
A Convergence Analysis of Log-Linear Training
In Poster Session
Simon Wiesler · Hermann Ney
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
Accelerated Adaptive Markov Chain for Partition Function Computation
In Poster Session
Stefano Ermon · Carla Gomes · Ashish Sabharwal · Bart Selman
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
A More Powerful Two-Sample Test in High Dimensions using Random Projection
In Poster Session
Miles Lopes · Laurent Jacob · Martin J Wainwright
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
A Reinforcement Learning Theory for Homeostatic Regulation
In Poster Session
Mehdi Keramati · Boris S Gutkin
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
A Denoising View of Matrix Completion
In Poster Session
Weiran Wang · Miguel A. Carreira-Perpinan · Zhengdong Lu
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
Maximal Cliques that Satisfy Hard Constraints with Application to Deformable Object Model Learning
In Poster Session
Xinggang Wang · Xiang Bai · Xingwei Yang · Wenyu Liu · Longin Jan J Latecki
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
An Exact Algorithm for F-Measure Maximization
In Poster Session
Krzysztof Dembczynski · Willem Waegeman · Weiwei Cheng · Eyke Hullermeier
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
Information Rates and Optimal Decoding in Large Neural Populations
In Poster Session
Kamiar Rahnama Rad · Liam Paninski
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
Demixed Principal Component Analysis
In Poster Session
Wieland Brendel · Ranulfo Romo · Christian Machens
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
See the Tree Through the Lines: The Shazoo Algorithm
In Poster Session
Fabio Vitale · Nicolò Cesa-Bianchi · Claudio Gentile · Giovanni Zappella
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
Prediction strategies without loss
In Poster Session
Michael Kapralov · Rina Panigrahy
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
Priors over Recurrent Continuous Time Processes
In Poster Session
Ardavan Saeedi · Alexandre Bouchard-Côté
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
Recovering Intrinsic Images with a Global Sparsity Prior on Reflectance
In Poster Session
Peter Gehler · Carsten Rother · Martin Kiefel · Lumin Zhang · Bernhard Schölkopf
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
Spectral Methods for Learning Multivariate Latent Tree Structure
In Poster Session
Anima Anandkumar · Kamalika Chaudhuri · Daniel Hsu · Sham M Kakade · Le Song · Tong Zhang
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
Sparse Features for PCA-Like Linear Regression
In Poster Session
Christos Boutsidis · Petros Drineas · Malik Magdon-Ismail
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
Modelling Genetic Variations using Fragmentation-Coagulation Processes
In Poster Session
Yee Whye Teh · Charles Blundell · Lloyd T Elliott
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
Non-Asymptotic Analysis of Stochastic Approximation Algorithms for Machine Learning
In Poster Session
Francis Bach · Eric Moulines
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
Learning Probabilistic Non-Linear Latent Variable Models for Tracking Complex Activities
In Poster Session
Angela Yao · Juergen Gall · Luc V Gool · Raquel Urtasun
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
PAC-Bayesian Analysis of Contextual Bandits
In Poster Session
Yevgeny Seldin · Peter Auer · Francois Laviolette · John Shawe-Taylor · Ronald Ortner
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
Penalty Decomposition Methods for Rank Minimization
In Poster Session
Yong Zhang · Zhaosong Lu
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
Variance Reduction in Monte-Carlo Tree Search
In Poster Session
Joel Veness · Marc Lanctot · Michael Bowling
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
Video Annotation and Tracking with Active Learning
In Poster Session
Carl Vondrick · Deva Ramanan
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
Variational Gaussian Process Dynamical Systems
In Poster Session
Andreas Damianou · Michalis Titsias · Neil D Lawrence
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
The Local Rademacher Complexity of Lp-Norm Multiple Kernel Learning
In Poster Session
Marius Kloft · Gilles Blanchard
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
Structure Learning for Optimization
In Poster Session
Shulin Yang · Ali Rahimi
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
Transfer from Multiple MDPs
In Poster Session
Alessandro Lazaric · Marcello Restelli
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
The Kernel Beta Process
In Poster Session
Lu Ren · Yingjian Wang · David B Dunson · Lawrence Carin
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
TD_gamma: Re-evaluating Complex Backups in Temporal Difference Learning
In Poster Session
George Konidaris · Scott Niekum · Philip Thomas
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
ShareBoost: Efficient multiclass learning with feature sharing
In Poster Session
Shai Shalev-Shwartz · Yonatan Wexler · Amnon Shashua
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
Active learning of neural response functions with Gaussian processes
In Poster Session
Mijung Park · Greg Horwitz · Jonathan W Pillow
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
The Doubly Correlated Nonparametric Topic Model
In Poster Session
Dae Il Kim · Erik Sudderth
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
Statistical Tests for Optimization Efficiency
In Poster Session
Levi Boyles · Anoop Korattikara · Deva Ramanan · Max Welling
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
Sequence learning with hidden units in spiking neural networks
In Poster Session
Johanni Brea · Walter Senn · Jean-Pascal Pfister
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
Solving Decision Problems with Limited Information
In Poster Session
Denis Maua · Cassio P de Campos
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
Trace Lasso: a trace norm regularization for correlated designs
In Poster Session
Edouard Grave · Guillaume R Obozinski · Francis Bach
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
Semi-supervised Regression via Parallel Field Regularization
In Poster Session
Binbin Lin · Chiyuan Zhang · Xiaofei He
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
Sparse Bayesian Multi-Task Learning
In Poster Session
Cedric Archambeau · Shengbo Guo · Onno Zoeter
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
Target Neighbor Consistent Feature Weighting for Nearest Neighbor Classification
In Poster Session
Ichiro Takeuchi · Masashi Sugiyama
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
Robust Lasso with missing and grossly corrupted observations
In Poster Session
Nam H Nguyen · Nasser M Nasrabadi · Trac D Tran
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
Sparse Inverse Covariance Matrix Estimation Using Quadratic Approximation
In Poster Session
Cho-Jui Hsieh · Matyas A Sustik · Inderjit Dhillon · Pradeep Ravikumar
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
Relative Density-Ratio Estimation for Robust Distribution Comparison
In Poster Session
Makoto Yamada · Taiji Suzuki · Takafumi Kanamori · Hirotaka Hachiya · Masashi Sugiyama
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
Selecting the State-Representation in Reinforcement Learning
In Poster Session
Odalric-Ambrym Maillard · Remi Munos · Daniil Ryabko
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
Sparse Recovery with Brownian Sensing
In Poster Session
Alexandra Carpentier · Odalric-Ambrym Maillard · Remi Munos
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
Semantic Labeling of 3D Point Clouds for Indoor Scenes
In Poster Session
Hema Koppula · Abhishek Anand · Thorsten Joachims · Ashutosh Saxena
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
Periodic Finite State Controllers for Efficient POMDP and DEC-POMDP Planning
In Poster Session
Joni Pajarinen · Jaakko Peltonen
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
Prismatic Algorithm for Discrete D.C. Programming Problem
In Poster Session
Yoshinobu Kawahara · Takashi Washio
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
On Strategy Stitching in Large Extensive Form Multiplayer Games
In Poster Session
Richard G Gibson · Duane Szafron
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
Predicting response time and error rates in visual search
In Poster Session
Bo Chen · Vidhya Navalpakkam · Pietro Perona
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
Nonnegative dictionary learning in the exponential noise model for adaptive music signal representation
In Poster Session
Onur Dikmen · Cédric Févotte
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
Online Submodular Set Cover, Ranking, and Repeated Active Learning
In Poster Session
Andrew Guillory · Jeffrey A Bilmes
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
Message-Passing for Approximate MAP Inference with Latent Variables
In Poster Session
Jiarong Jiang · Piyush Rai · Hal Daumé III
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
Multi-Bandit Best Arm Identification
In Poster Session
Victor Gabillon · Mohammad Ghavamzadeh · Alessandro Lazaric · Sebastien Bubeck
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
On the Universality of Online Mirror Descent
In Poster Session
Nati Srebro · Karthik Sridharan · Ambuj Tewari
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
Linear Submodular Bandits and their Application to Diversified Retrieval
In Poster Session
Yisong Yue · Carlos Guestrin
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
Learning unbelievable marginal probabilities
In Poster Session
Xaq S Pitkow · Yashar Ahmadian · Ken D Miller
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
Learning in Hilbert vs. Banach Spaces: A Measure Embedding Viewpoint
In Poster Session
Bharath Sriperumbudur · Kenji Fukumizu · Gert Lanckriet
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
Learning to Search Efficiently in High Dimensions
In Poster Session
Zhen Li · Huazhong Ning · Liangliang Cao · Tong Zhang · Yihong Gong · Thomas S Huang
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
Learning Sparse Representations of High Dimensional Data on Large Scale Dictionaries
In Poster Session
Zhen James Xiang · Hao Xu · Peter J Ramadge
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
Learning Higher-Order Graph Structure with Features by Structure Penalty
In Poster Session
Shilin Ding · Grace Wahba · Jerry Zhu
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
Learning Patient-Specific Cancer Survival Distributions as a Sequence of Dependent Regressors
In Poster Session
Chun-Nam Yu · Russell Greiner · Hsiu-Chin Lin · Vickie Baracos
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
High-dimensional regression with noisy and missing data: Provable guarantees with non-convexity
In Poster Session
Po-Ling Loh · Martin J Wainwright
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
Learning a Distance Metric from a Network
In Poster Session
Blake Shaw · Bert Huang · Tony Jebara
[ PDF] 
Poster
Tue Dec 13 05:45 PM -- 11:59 PM (CET)
Learning Anchor Planes for Classification
In Poster Session
Ziming Zhang · Lubor Ladicky · Philip Torr · Amir Saffari
[ PDF]