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107
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ICCV
2011
IEEE
13 years 10 months ago
Robust Object Pose Estimation via Statistical Manifold Modeling
We propose a novel statistical manifold modeling approach that is capable of classifying poses of object categories from video sequences by simultaneously minimizing the intra-cla...
Liang Mei, Jingen Liu, Alfred Hero, Silvio Savares...
ML
2012
ACM
388views Machine Learning» more  ML 2012»
13 years 5 months ago
Statistical analysis of kernel-based least-squares density-ratio estimation
The ratio of two probability densities can be used for solving various machine learning tasks such as covariate shift adaptation (importance sampling), outlier detection (likeliho...
Takafumi Kanamori, Taiji Suzuki, Masashi Sugiyama
ISI
2008
Springer
14 years 9 months ago
A Generative Model for Statistical Determination of Information Content from Conversation Threads
We present a generative model for determining the information content of a message without analyzing the message content. Such a tool is useful for automated analysis of the vast ...
Yingjie Zhou, Malik Magdon-Ismail, William A. Wall...
80
Voted
ICRA
2010
IEEE
146views Robotics» more  ICRA 2010»
14 years 8 months ago
Statistical mobility prediction for planetary surface exploration rovers in uncertain terrain
— Planetary surface exploration rovers must accurately and efficiently predict their mobility on natural, rough terrain. Most approaches to mobility prediction assume precise a p...
Genya Ishigami, Gaurav Kewlani, Karl Iagnemma
EMNLP
2010
14 years 8 months ago
Discriminative Sample Selection for Statistical Machine Translation
Production of parallel training corpora for the development of statistical machine translation (SMT) systems for resource-poor languages usually requires extensive manual effort. ...
Sankaranarayanan Ananthakrishnan, Rohit Prasad, Da...