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ICML
2010
IEEE
15 years 5 months ago
Deep Supervised t-Distributed Embedding
Deep learning has been successfully applied to perform non-linear embedding. In this paper, we present supervised embedding techniques that use a deep network to collapse classes....
Martin Renqiang Min, Laurens van der Maaten, Zinen...
JTAER
2006
143views more  JTAER 2006»
15 years 4 months ago
P2P's Significance for eBusiness: Towards a Research Agenda
Applications running over peer-to-peer (P2P) networks have exploded since the late 1990s. Research is needed into many aspects of P2P. These include architecture, application func...
Roger Clarke
CVPR
2005
IEEE
16 years 6 months ago
Spatiograms versus Histograms for Region-Based Tracking
We introduce the concept of a spatiogram, which is a generalization of a histogram that includes potentially higher order moments. A histogram is a zeroth-order spatiogram, while ...
Stan Birchfield, Sriram Rangarajan
ICCV
2003
IEEE
16 years 6 months ago
On-Line Selection of Discriminative Tracking Features
This paper presents a method for evaluating multiple feature spaces while tracking, and for adjusting the set of features used to improve tracking performance. Our hypothesis is t...
Robert T. Collins, Yanxi Liu
POPL
2009
ACM
16 years 4 months ago
Wild control operators
Linguists seek to understand the semantics of expressions in human languages. Taking a computational point of view, there are many natural language expressions--operators in the w...
Chris Barker