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TIP
2010
155views more  TIP 2010»
15 years 4 months ago
Laplacian Regularized D-Optimal Design for Active Learning and Its Application to Image Retrieval
—In increasingly many cases of interest in computer vision and pattern recognition, one is often confronted with the situation where data size is very large. Usually, the labels ...
Xiaofei He
TVCG
2011
119views more  TVCG 2011»
15 years 29 days ago
Toward High-Quality Gradient Estimation on Regular Lattices
—In this paper, we present two methods for accurate gradient estimation from scalar field data sampled on regular lattices. The first method is based on the multidimensional Tayl...
Zahid Hossain, Usman R. Alim, Torsten Möller
ICDM
2005
IEEE
188views Data Mining» more  ICDM 2005»
15 years 11 months ago
Hierarchy-Regularized Latent Semantic Indexing
Organizing textual documents into a hierarchical taxonomy is a common practice in knowledge management. Beside textual features, the hierarchical structure of directories reflect...
Yi Huang, Kai Yu, Matthias Schubert, Shipeng Yu, V...
ICIP
2000
IEEE
16 years 7 months ago
Complexity-Regularized Denoising of Poisson-Corrupted Data
In this paper, we apply the complexity?regularization principle to Poisson imaging. We formulate a natural distortion measure in image space, and present a connection between comp...
Juan Liu, Pierre Moulin
ISSS
2002
IEEE
142views Hardware» more  ISSS 2002»
15 years 11 months ago
Energy/Power Estimation of Regular Processor Arrays
We propose a high-level analytical model for estimating the energy and/or power dissipation in VLSI processor (systolic) array implementations of loop programs, particularly for i...
Sanjay V. Rajopadhye, Steven Derrien