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
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
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
poster_titles.txt · Last modified: 2012/09/03 11:18 by mcuturi