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127
Voted
TITS
2008
262views more  TITS 2008»
15 years 3 months ago
Robust Lane Detection and Tracking in Challenging Scenarios
A lane-detection system is an important component of many intelligent transportation systems. We present a robust lane-detection-and-tracking algorithm to deal with challenging sce...
ZuWhan Kim
162
Voted
TIP
2010
155views more  TIP 2010»
15 years 2 months ago
Laplacian Regularized D-Optimal Design for Active Learning and Its Application to Image Retrieval
—In increasingly many cases of interest in computer vision and pattern recognition, one is often confronted with the situation where data size is very large. Usually, the labels ...
Xiaofei He
153
Voted
JMLR
2012
13 years 6 months ago
A metric learning perspective of SVM: on the relation of LMNN and SVM
Support Vector Machines, SVMs, and the Large Margin Nearest Neighbor algorithm, LMNN, are two very popular learning algorithms with quite different learning biases. In this paper...
Huyen Do, Alexandros Kalousis, Jun Wang, Adam Wozn...
139
Voted
MICCAI
2010
Springer
15 years 2 months ago
Incremental Shape Statistics Learning for Prostate Tracking in TRUS
Abstract. Automatic delineation of the prostate boundary in transrectal ultrasound (TRUS) can play a key role in image-guided prostate intervention. However, it is a very challengi...
Pingkun Yan, Jochen Kruecker
121
Voted
CIKM
2009
Springer
15 years 10 months ago
A machine learning approach for improved BM25 retrieval
Despite the widespread use of BM25, there have been few studies examining its effectiveness on a document description over single and multiple field combinations. We determine t...
Krysta Marie Svore, Christopher J. C. Burges