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16 years 7 months ago
Gaussian Processes for Machine Learning
"Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning...
Carl Edward Rasmussen and Christopher K. I. Willia...
ICCV
2007
IEEE
15 years 11 months ago
Learning Globally-Consistent Local Distance Functions for Shape-Based Image Retrieval and Classification
We address the problem of visual category recognition by learning an image-to-image distance function that attempts to satisfy the following property: the distance between images ...
Andrea Frome, Yoram Singer, Fei Sha, Jitendra Mali...
ECCV
2002
Springer
15 years 11 months ago
Tracking and Object Classification for Automated Surveillance
In this paper we discuss the issues that need to be resolved before fully automated outdoor surveillance systems can be developed, and present solutions to some of these problems. ...
Omar Javed, Mubarak Shah
ICIP
2002
IEEE
15 years 11 months ago
Updating mixture of principal components for error concealment
This paper is organized as follows. In Section 2, we formulate the proposed UMPC method for modeling nonstationary and multi-modal data. Both MPC and UPC are shown to be special ca...
Trista Pei-chun Chen, Tsuhan Chen
ICDE
2004
IEEE
138views Database» more  ICDE 2004»
15 years 11 months ago
Making the Pyramid Technique Robust to Query Types and Workloads
The effectiveness of many existing high-dimensional indexing structures is limited to specific types of queries and workloads. For example, while the Pyramid technique and the iMi...
Rui Zhang 0003, Beng Chin Ooi, Kian-Lee Tan