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ICML
2008
IEEE
15 years 11 months ago
Memory bounded inference in topic models
What type of algorithms and statistical techniques support learning from very large datasets over long stretches of time? We address this question through a memory bounded version...
Ryan Gomes, Max Welling, Pietro Perona
ICIP
2004
IEEE
15 years 11 months ago
Sparse representation of images with hybrid linear models
We propose a mixture of multiple linear models, also known as hybrid linear model, for a sparse representation of an image. This is a generalization of the conventional KarhunenLo...
Kun Huang, Allen Y. Yang, Yi Ma
VVS
1995
IEEE
132views Visualization» more  VVS 1995»
15 years 1 months ago
Multi-Dimensional Trees for Controlled Volume Rendering and Compression
This paper explores the use of multi-dimensional trees to provide spatial and temporal e ciencies in imaging large data sets. Each node of the tree contains a model of the data in...
Jane Wilhelms, Allen Van Gelder
ICIP
2004
IEEE
15 years 11 months ago
Background modeling and subtraction by codebook construction
We present a new fast algorithm for background modeling and subtraction. Sample background values at each pixel are quantized into codebooks which represent a compressed form of b...
Kyungnam Kim, Thanarat H. Chalidabhongse, David Ha...
ADAPTIVE
2007
Springer
15 years 4 months ago
Adaptive 3D Web Sites
In recent years, technological developments have made it possible to build interactive 3D models of objects and 3D Virtual Environments that can be experienced through the Web, usi...
Luca Chittaro, Roberto Ranon