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CVPR
2007
IEEE
16 years 23 days ago
Hierarchical Structuring of Data on Manifolds
Manifold learning methods are promising data analysis tools. However, if we locate a new test sample on the manifold, we have to find its embedding by making use of the learned e...
Jun Li, Pengwei Hao
MICRO
2006
IEEE
127views Hardware» more  MICRO 2006»
16 years 13 days ago
A Predictive Performance Model for Superscalar Processors
Designing and optimizing high performance microprocessors is an increasingly difficult task due to the size and complexity of the processor design space, high cost of detailed si...
P. J. Joseph, Kapil Vaswani, Matthew J. Thazhuthav...
SSD
2005
Springer
108views Database» more  SSD 2005»
15 years 12 months ago
On Trip Planning Queries in Spatial Databases
In this paper we discuss a new type of query in Spatial Databases, called the Trip Planning Query (TPQ). Given a set of points of interest P in space, where each point belongs to ...
Feifei Li, Dihan Cheng, Marios Hadjieleftheriou, G...
MM
2003
ACM
165views Multimedia» more  MM 2003»
15 years 11 months ago
Video retrieval using spatio-temporal descriptors
This paper describes a novel methodology for implementing video search functions such as retrieval of near-duplicate videos and recognition of actions in surveillance video. Video...
Daniel DeMenthon, David S. Doermann
AAAI
2010
15 years 7 months ago
G-Optimal Design with Laplacian Regularization
In many real world applications, labeled data are usually expensive to get, while there may be a large amount of unlabeled data. To reduce the labeling cost, active learning attem...
Chun Chen, Zhengguang Chen, Jiajun Bu, Can Wang, L...