Sciweavers

521 search results - page 41 / 105
» Sparse probabilistic classifiers
Sort
View
EACL
2006
ACL Anthology
14 years 12 months ago
A Probabilistic Answer Type Model
All questions are implicitly associated with an expected answer type. Unlike previous approaches that require a predefined set of question types, we present a method for dynamical...
Christopher Pinchak, Dekang Lin
CVPR
2004
IEEE
16 years 17 days ago
Cue Integration through Discriminative Accumulation
Object recognition systems aiming to work in real world settings should use multiple cues in order to achieve robustness. We present a new cue integration scheme which extends the...
Maria-Elena Nilsback, Barbara Caputo
SDM
2008
SIAM
133views Data Mining» more  SDM 2008»
14 years 12 months ago
Semantic Smoothing for Bayesian Text Classification with Small Training Data
Bayesian text classifiers face a common issue which is referred to as data sparsity problem, especially when the size of training data is very small. The frequently used Laplacian...
Xiaohua Zhou, Xiaodan Zhang, Xiaohua Hu
TCS
2008
14 years 10 months ago
Absolute versus probabilistic classification in a logical setting
Suppose we are given a set W of logical structures, or possible worlds, a set of logical formulas called possible data and a logical formula . We then consider the classification p...
Sanjay Jain, Eric Martin, Frank Stephan
ICCV
2011
IEEE
13 years 10 months ago
In Defense of Soft-assignment Coding
In object recognition, soft-assignment coding enjoys computational efficiency and conceptual simplicity. However, its classification performance is inferior to the newly develop...
Lingqiao Liu, Lei Wang, Xinwang Liu