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KDD
2008
ACM
172views Data Mining» more  KDD 2008»
16 years 5 months ago
Structured metric learning for high dimensional problems
The success of popular algorithms such as k-means clustering or nearest neighbor searches depend on the assumption that the underlying distance functions reflect domain-specific n...
Jason V. Davis, Inderjit S. Dhillon
MLG
2007
Springer
15 years 11 months ago
Abductive Stochastic Logic Programs for Metabolic Network Inhibition Learning
Abstract. We revisit an application developed originally using Inductive Logic Programming (ILP) by replacing the underlying Logic Program (LP) description with Stochastic Logic Pr...
Jianzhong Chen, Stephen Muggleton, Jose Santos
ALGORITHMICA
2005
76views more  ALGORITHMICA 2005»
15 years 4 months ago
Characterizing History Independent Data Structures
We consider history independent data structures as proposed for study by Naor and Teague [3]. In a history independent data structure, nothing can be learned from the memory repre...
Jason D. Hartline, Edwin S. Hong, Alexander E. Moh...
127
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MLMI
2004
Springer
15 years 10 months ago
Accessing Multimodal Meeting Data: Systems, Problems and Possibilities
As the amount of multimodal meetings data being recorded increases, so does the need for sophisticated mechanisms for accessing this data. This process is complicated by the diffe...
Simon Tucker, Steve Whittaker
SG
2007
Springer
15 years 11 months ago
Data-Embeddable Texture Synthesis
Abstract. Data hiding techniques onto images provide tools for protecting copyright or sending secret messages, and they are currently utilized as a simple input device of a cell p...
Hirofumi Otori, Shigeru Kuriyama