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AIR
2005
99views more  AIR 2005»
14 years 11 months ago
Evolving General Term-Weighting Schemes for Information Retrieval: Tests on Larger Collections
Term-weighting schemes are vital to the performance of Information Retrieval models that use term frequency characteristics to determine the relevance of a document. The vector spa...
Ronan Cummins, Colm O'Riordan
AAAI
2011
13 years 12 months ago
Improving Semi-Supervised Support Vector Machines Through Unlabeled Instances Selection
Semi-supervised support vector machines (S3VMs) are a kind of popular approaches which try to improve learning performance by exploiting unlabeled data. Though S3VMs have been fou...
Yu-Feng Li, Zhi-Hua Zhou
ICPR
2008
IEEE
15 years 6 months ago
Improving Bayesian Network parameter learning using constraints
This paper describes a new approach to unify constraints on parameters with training data to perform parameter estimation in Bayesian networks of known structure. The method is ge...
Cassio Polpo de Campos, Qiang Ji
ICCV
2007
IEEE
16 years 1 months ago
Proximity Distribution Kernels for Geometric Context in Category Recognition
We propose using the proximity distribution of vectorquantized local feature descriptors for object and category recognition. To this end, we introduce a novel "proximity dis...
Haibin Ling, Stefano Soatto
DFT
2005
IEEE
102views VLSI» more  DFT 2005»
15 years 1 months ago
Using Statistical Transformations to Improve Compression for Linear Decompressors
Linear decompressors are the dominant methodology used in commercial test data compression tools. However, they are generally not able to exploit correlations in the test data, an...
Samuel I. Ward, Chris Schattauer, Nur A. Touba