The poster sessions will take place in the International Conference Halls I & II of the Clock Tower Building, located right next to the lecture hall of the MLSS.

• Artist Agent: A Reinforcement Learning Approach to Automatic Stroke Generation in Oriental Ink Paint, Ning Xie, Tokyo Institute of Technology
• Hierarchical Spatial Matching Kernel for Image Categorization, Tam Le, University of Science, VNU-HCMC
• Dimensionality Reduction and Classification using Partial Least Squares Applied to Medical Imaging, Carla Paola Agurto Rios, The University of New Mexico
• Epitomic Textural Term for Image Segmentation problem, Dennis Elshin, Moscow State University
• Length distributions of identity by descent reveal fine-scale demographic history of a population, Pier Francesco Palamara, Columbia University
• Initialization-Robust Multipitch Analyzer based on Latent Harmonic Allocation using Overtone Corpus, Daichi Sakaue, Graduate School of Informatics, Kyoto University
• Graphical modeling of large networks. Application on brain functional connections., Aude Costard, GIPSA-lab
• Advance Prediction of Epileptic Seizures, Negin Moghim, Heriot-Watt University
• Improving Computer Lip Reading with Machine Learning, Helen (known as Yogi) Bear, University of East Anglia, UK
• Self-learning of robotic motor skills, Hirotaka Moriguchi, The University of Tokyo
• Weblog Analysis for Predicting Correlations in Stock Price Evolutions, Milad Kharratzadeh, McGill University
• Computationally Efficient Multi-Label Classification by Least-Squares Probabilistic Classifier, HYUNHA NAM, Tokyo Institute of Technology
• Articulated People Detection and Pose Estimation, Leonid Pishchulin, Max Planck Institute for Informatics
• Annotation of High-resolution Satellite Images Using MedLDA and Conditional Random Fields, Wen Yang, Wuhan University
• A Two-Step Soft Segmentation Procedure for MALDI Imaging Mass Spectrometry Data, Ilya Chernyavsky, St. Petersburg Academic University
• Joint spatio-temporal depth features fusion for 3D structure estimation in urban environment, Mohamad Motasem Nawaf, Jean Monnet University
• Contextual misspelling Correction, Lulwah ALYahyan, King Abdulaziz City for Science and Technology (KACST)
• Path following approach for efficient reweighted L1 minimization, Yuki Shinmura, Nagoya Institute of Technology
• Learning with a Crowdsourced Objective: EndlessForms.com., Jason Yosinski, Cornell University
• Modeling for chaos using LASSO, Masanori Shiro, AIST
• Social Image Re-ranking with Multi-Modal Relevance Feedback, Jiyi Li, Kyoto University
• A Bayesian Model for Exploiting Application Constraints to Enable Unsupervised Training of a P300-ba, Pieter-Jan Kindermans, Ghent University
• Nonparametric Bayesian modeling for video analysis, Wei-Chen Chiu, Max Planck Institute for Informatics
• Event Detection over Social Media, Bo HAN, Melbourne University
• Searching for modulating factors that change structure of gene networks depending on cell specific f, Yuto Kataoka, The Univ. of Tokyo
• Personalized Movie Recommendation System, Zhao Shuai, University of Electronic Science and Technology of China
• Computational identification of discriminating features of type III secreted effector proteins, Koji Yahara, University of Tokyo (JSPS Research Fellow)
• Kernel Mean Embeddings of POMDPs, Yu Nishiyama, ISM
• A Distributed Cooperative Reinforcement Learning Method for Decision Making in Fire Brigade Teams: A Case study in robocup, Abbas Abdolmaleki, University of Porto/IEETA Institute of Electronics and Telematics Engineering of Aveiro, Portugal
• Kernel Current Source Density Method, Jan Potworowski, Nencki Institute of Experimental Biology, Warsaw Poland
• Spectral Differential Privacy, Jun Sakuma, Univesity of Tsukuba
• Analysis of Primate Learning Data, Duncan Blythe, Technical University Berlin
• SEM for stemmatological analysis, Yuan Zou, University of Helsinki
• Imitation and Learning from Demonstration of Human Body Actions by Nao using Kinect Sensor, Binnur Gorer, Bogazici University
• Graphical Models for Wireless Communications, Bernhard Etzlinger, Johannes Kepler University Linz
• Exact Soft Confidence-Weighted Learning, Jialei Wang, Nanyang Technological University

• Improving the exploration in Upper Confidence Trees, Adrien Couëtoux, INRIA Saclay, Ile de France
• Semi-Supervised Learning of Class Balance under Class-Prior Change, Marthinus Christoffel du Plessis, Tokyo Institute of Technology
• Empathic Computing, Masayuki Numao, Osaka University
• An Online Boosting Algorithm with Theoretical Justifications, Shang-Tse Chen, Academia Sinica
• Torque Estimation from EMG Signals Considering Inverse Dynamics of Human for Exoskeleton Robot, Junichiro Furukawa, Osaka University, ATR
• Real time route guidance using supervised learning techniques, Muhammad Tayyab Asif, Nanyang Technological University
• Constraint Solver Synthesizer Tuning, Arunas Prokopas, University of St Andrews
• Unsupervised Information Extraction for Spoken Dialogue System, Koichiro Yoshino, Kyoto University, School of Informatics
• Unsupervised translation candidate disambiguation using very large corpora, André Lynum, Norwegian University of Science and Technology
• nu-MKL: A Novel Multiple Kernel Learning Algorithm, Eduardo Jose Castro Witting, The University of New Mexico
• An Improvement of the Bayesian Rating System TrueSkill(TM) and its Fast Parallel Implementation, Dmitriy Serdyuk, Saint-Petersburg Academic University
• Shrinkage-LDA and Hidden Markov Models for spelling via Brain Computer Interfaces., Laura Acqualagna, Berlin University of Technology
• Statistical Language Model for Web Applications, Yoh Okuno, Unemployed
• The effect of novelty-based exploration on reinforcement learning, Audrey Houillon, Technical University Berlin/BCCN/Charite H
• MapReduce Approach to Relational Influence Propagation in Complex Networks, Wojciech Indyk, Wroclaw University of Technology
• Sparsity conditions for local learning algorithms on recurrent neuronal networks, Takashi Hayakawa, Institute of Statistical Mathematics
• Pool Management in Ensemble Learning of Data Streams, Zahra Ahmadi, Sharif University of Technology
• Supervised Novelty Detection with Kernel Machines, Vilen Jumutc, Katholieke Universiteit Leuven
• Rating Prediction by Correcting User Review Bias, Masanao Oochi, The University of Tokyo
• Inferring regulatory networks from expression data, Hai-Son Le, Carnegie Mellon University
• Integrating Feature Knowledge in Document Classification with PageRank, Christian Scheible, University of Stuttgart
• Mining Social Behaviors to Provide Technology-Mediated Interventions Promoting Positive Interactions, Aamena Alshamsi, Masdar Institute of Science and Technology
• Machine Learning for Dependency Parsing, Daniel Flannery, Kyoto University
• Information-theoretic Semi-supervised Metric Learning via Entropy Regularization, Gang Niu, Tokyo Institute of Technology
• A Fast Intrusion Detection Algorithm Based on SVDD, Jiuding Duan, Beijing University of Aeronautics and Astronautics
• Paraiso : An Automated Tuning Framework for Explicit Solvers of Partial Differential Equations, Takayuki Muranushi, Kyoto University
• Online spectral clustering in adversarial and statistical settings, Ching-Hua Yu, National Taiwan University
• Ontology based infrastructure for semantically mining of annotated medical data, Phanu Waraporn, Suan Sunandha Rajabhat University
• Machine Learning and Modeling Approaches to Depression, yu shimizu ito, Okinawa Institute of Science and Technology, Graduate University
• Preliminary Assessment of Functional Connectivity as a Biomarker for Treatment Response in Schizophrenia, Jennifer Hadley, University of Alabama at Birmingham
• Kernel Methods Pattern Recognition using UWB Spread Spectrum, Mostafa Abdel-Aleem, Staffordshire University
• SCM: A new click model for relevance prediction in web search, Alexander Fishkov, Saint-Petersburg State Polithechnical University

• Clinical Machine Learning in Action and More, Yoshitaka Masutani, Univ. of Tokyo Hospital
• Human Action Recognition Using Gaussian Process Dynamical Models, Vahid Ghadakchi, Sharif University of Technology
• ProbLog - a wide range PLL system, Dimitar Shterionov, Katholieke Universiteit Leuven
• Generating ordered list of Recommended Items: a Hybrid Recommender System of Microblog, Li Yingzhen, Sun Yat-Sen University
• Characteristic kernels on groups and semigroups, Pierre Chiche, The Institute of Statistical Mathematics
• Solution Path of Semi-supervised support vector machine (S3VM) using parametric programming approach, Kohei Ogawa, Nagoya Institute of technologyT
• Microphone Array Processing based on Bayesian Topic Model, Takuma Otsuka, Graduate School of Informatics, Kyoto University
• Market Making and Online Learning, Nicolas Della Penna, Australian National University
• Matching Results of Latent Dirichlet Allocation for Text, Andreas Niekler, University of Leipzig
• Subset Infinite Relational Models, Katsuhiko Ishiguro, NTT Corporation
• Character Conversion Based on Eigenvoice Technique, Teeraphon Pongkittiphan, The University of Tokyo
• Topic-dependent Information Diffusion Model on Social Networks, Yuya Yoshikawa, Nara Institute of Science and Technology
• Learning Invariant Color Features with Sparse Topographic Restricted Boltzmann Machines, Lukasz Kusmierz, Institute of Physics, Jagiellonian University, Krakow
• Fast Computation of Subpath Kernel for Trees, Daisuke Kimura, The University of Tokyo
• Humanoid Locomotion Using Policy Gradient Methods, Arash Givchi, Isfahan University of Technology
• Detecting Cancer Specific Mutations by Variational Bayesian Method, Naoto Usuyama, The University of Tokyo
• Learning Motor-visual Dynamics and Solving Linearlized Bellman Equation for Robot Control, Ken Kinjo, Nara Institute of Science and Technology
• Pattern Mining from Large Networks, Xiaowei Xu, University of Arkansas at Little Rock
• Frequency-aware Truncated methods for Sparse Online Learning, Hidekazu Oiwa, The University of Tokyo
• Patch Based Synthesis for Single Depth Image Super-Resolution, Oisin Mac Aodha, University College London
• Kernel and Feature Selection in Unsupervised Learning, Md. Ashad Alam, The Institute of Statistical Mathematics (ISM), The Graduate University for Advanced Studies (SOKEND
• Catalog-Based Single-Channel Speech Music Separation, cemil demir, Tübitak-Bilgem
• A Web Crawler that Collects Bilingual Compound Technical Term Pairs, Koichi Satoh, Okayama University
• How to solve classification and regression problems on real data with slow feature analysis, Alberto Escalante, Ruhr-University of Bochum
• Template-Based Learning of Grasp Selection, Alexander Herzog, Max-Planck Institute for Intelligent Systems
• Random Partitions and Related Topics, Anshui LI, Utrecht University
• Unsupervised Learning of Definitions and Paraphrases from the Web, Yulan Yan, National Institute of Information and Communications Technology (NICT)
• A Convex Formulation for Learning from Crowds and Its Extensions, Hiroshi Kajino, The University of Tokyo
• Filter Bank Learning for Classification, Maxime Sangnier, University of Rouen
• Relaxed Support Vector Machine for Multiple-Instance Learning, Naoki Ishihara, Nagoya Institute Technology
• Variational optimization for Soft Margin Support Vector Machines, Joe Staines, University College London
• Visualizing Time Dynamics in Topic Models, Patrick Jähnichen, University of Leipzig
• Efficient sample reuse in policy gradients with parameter-based exploration, Tingting Zhao, Tokyo Institute of Technology
• DeWaLoP robot, Luis Mateos, TU WIEN - Vienna University of Technology
• Top-down particle filtering for Bayesian decision trees, Balaji Lakshminarayanan, University College London
• Query-driven Data Completeness Management, Simon Razniewski, Free University of Bozen-Bolzano