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144
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CVPR
2011
IEEE
14 years 8 months ago
What You Saw is Not What You Get: Domain Adaptation Using Asymmetric Kernel Transforms
In real-world applications, “what you saw” during training is often not “what you get” during deployment: the distribution and even the type and dimensionality of features...
Brian Kulis, Kate Saenko, Trevor Darrell
SIGMOD
2003
ACM
174views Database» more  SIGMOD 2003»
16 years 29 days ago
ViST: A Dynamic Index Method for Querying XML Data by Tree Structures
With the growing importance of XML in data exchange, much research has been done in providing flexible query facilities to extract data from structured XML documents. In this pape...
Haixun Wang, Sanghyun Park, Wei Fan, Philip S. Yu
101
Voted
CPM
2007
Springer
99views Combinatorics» more  CPM 2007»
15 years 7 months ago
Speeding Up HMM Decoding and Training by Exploiting Sequence Repetitions
We present a method to speed up the dynamic program algorithms used for solving the HMM decoding and training problems for discrete time-independent HMMs. We discuss the applicatio...
Shay Mozes, Oren Weimann, Michal Ziv-Ukelson
97
Voted
SIGIR
2006
ACM
15 years 6 months ago
Regularized estimation of mixture models for robust pseudo-relevance feedback
Pseudo-relevance feedback has proven to be an effective strategy for improving retrieval accuracy in all retrieval models. However the performance of existing pseudo feedback meth...
Tao Tao, ChengXiang Zhai
82
Voted
ICPR
2010
IEEE
15 years 3 months ago
A Discriminative and Heteroscedastic Linear Feature Transformation for Multiclass Classification
This paper presents a novel discriminative feature transformation, named full-rank generalized likelihood ratio discriminant analysis (fGLRDA), on the grounds of the likelihood ra...
Hung-Shin Lee, Hsin-Min Wang, Berlin Chen