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ICCV
2009
IEEE
15 years 3 months ago
Evaluating Information Contributions of Bottom-up and Top-down Processes
This paper presents a method to quantitatively evaluate information contributions of individual bottom-up and topdown computing processes in object recognition. Our objective is...
Xiong Yang, Tianfu Wu, Song-Chun Zhu
SSPR
2010
Springer
13 years 8 months ago
Information Theoretical Kernels for Generative Embeddings Based on Hidden Markov Models
Many approaches to learning classifiers for structured objects (e.g., shapes) use generative models in a Bayesian framework. However, state-of-the-art classifiers for vectorial d...
André F. T. Martins, Manuele Bicego, Vittor...
CVPR
2005
IEEE
15 years 6 days ago
A Direct Method for Modeling Non-Rigid Motion with Thin Plate Spline
Thin plate spline (TPS) transformations have been applied to non-rigid shape matching with impressive results. However, existing methods often use a sparse set of point correspond...
Jongwoo Lim, Ming-Hsuan Yang
AND
2009
13 years 8 months ago
Discovering voter preferences in blogs using mixtures of topic models
In this paper we propose a new approach to capture the inclination towards a certain election candidate from the contents of blogs and to explain why that inclination may be so. T...
Pradipto Das, Rohini K. Srihari, Smruthi Mukund
KDD
2012
ACM
201views Data Mining» more  KDD 2012»
12 years 18 days ago
Learning from crowds in the presence of schools of thought
Crowdsourcing has recently become popular among machine learning researchers and social scientists as an effective way to collect large-scale experimental data from distributed w...
Yuandong Tian, Jun Zhu