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» Learning the Relative Importance of Features in Image Data
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PAMI
2008
196views more  PAMI 2008»
15 years 4 months ago
Distance Learning for Similarity Estimation
In this paper, we present a general guideline to find a better distance measure for similarity estimation based on statistical analysis of distribution models and distance function...
Jie Yu, Jaume Amores, Nicu Sebe, Petia Radeva, Qi ...
DAGM
2005
Springer
15 years 9 months ago
Goal-Directed Search with a Top-Down Modulated Computational Attention System
In this paper we present VOCUS: a robust computational attention system for goal-directed search. A standard bottom-up architecture is extended by a top-down component, enabling th...
Simone Frintrop, Gerriet Backer, Erich Rome
ICASSP
2011
IEEE
14 years 7 months ago
Multi-view and multi-objective semi-supervised learning for large vocabulary continuous speech recognition
Current hidden Markov acoustic modeling for large vocabulary continuous speech recognition (LVCSR) relies on the availability of abundant labeled transcriptions. Given that speech...
Xiaodong Cui, Jing Huang, Jen-Tzung Chien
MMM
2011
Springer
234views Multimedia» more  MMM 2011»
14 years 7 months ago
Image Super-Resolution by Vectorizing Edges
As the resolution of output device increases, the demand of high resolution contents has become more eagerly. Therefore, the image superresolution algorithms become more important....
Chia-Jung Hung, Chun-Kai Huang, Bing-Yu Chen
PVLDB
2008
83views more  PVLDB 2008»
15 years 3 months ago
Clustera: an integrated computation and data management system
This paper introduces Clustera, an integrated computation and data management system. In contrast to traditional clustermanagement systems that target specific types of workloads,...
David J. DeWitt, Erik Paulson, Eric Robinson, Jeff...