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ICML
2009
IEEE
15 years 10 months ago
Multi-instance learning by treating instances as non-I.I.D. samples
Previous studies on multi-instance learning typically treated instances in the bags as independently and identically distributed. The instances in a bag, however, are rarely indep...
Zhi-Hua Zhou, Yu-Yin Sun, Yu-Feng Li
SDM
2009
SIAM
172views Data Mining» more  SDM 2009»
15 years 7 months ago
Travel-Time Prediction Using Gaussian Process Regression: A Trajectory-Based Approach.
This paper is concerned with the task of travel-time prediction for an arbitrary origin-destination pair on a map. Unlike most of the existing studies, which focus only on a parti...
Sei Kato, Tsuyoshi Idé
PAMI
2012
13 years 12 days ago
Trainable Convolution Filters and Their Application to Face Recognition
—In this paper, we present a novel image classification system that is built around a core of trainable filter ensembles that we call Volterra kernel classifiers. Our system trea...
Ritwik Kumar, Arunava Banerjee, Baba C. Vemuri, Ha...
CRV
2006
IEEE
223views Robotics» more  CRV 2006»
15 years 4 months ago
Disparity Map Estimation Using A Total Variation Bound
This paper describes a new variational method for estimating disparity from stereo images. The stereo matching problem is formulated as a convex programming problem in which an ob...
Wided Miled, Jean-Christophe Pesquet
ICRA
2006
IEEE
174views Robotics» more  ICRA 2006»
15 years 4 months ago
Multi-scale point and line range data algorithms for mapping and localization
— This paper presents a multi-scale point and line based representation of two-dimensional range scan data. The techniques are based on a multi-scale Hough transform and a tree r...
Samuel T. Pfister, Joel W. Burdick