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» OCR in a Hierarchical Feature Space
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ESANN
2004
15 years 7 months ago
Sparse Bayesian kernel logistic regression
In this paper we present a simple hierarchical Bayesian treatment of the sparse kernel logistic regression (KLR) model based MacKay's evidence approximation. The model is re-p...
Gavin C. Cawley, Nicola L. C. Talbot
KDD
2003
ACM
191views Data Mining» more  KDD 2003»
16 years 6 months ago
Assessment and pruning of hierarchical model based clustering
The goal of clustering is to identify distinct groups in a dataset. The basic idea of model-based clustering is to approximate the data density by a mixture model, typically a mix...
Jeremy Tantrum, Alejandro Murua, Werner Stuetzle
SIGGRAPH
1999
ACM
15 years 10 months ago
LDI Tree: A Hierarchical Representation for Image-Based Rendering
Using multiple reference images in 3D image warping has been a challenging problem. Recently, the Layered Depth Image (LDI) was proposed by Shade et al. to merge multiple referenc...
Chun-Fa Chang, Gary Bishop, Anselmo Lastra
ICCAD
2002
IEEE
141views Hardware» more  ICCAD 2002»
16 years 2 months ago
A hierarchical modeling framework for on-chip communication architectures
— The communication sub-system of complex IC systems is increasingly critical for achieving system performance. Given this, it is important that the on-chip communication archite...
Xinping Zhu, Sharad Malik
VRML
2000
ACM
15 years 10 months ago
A spatial hierarchical compression method for 3D streaming animation
When distributing 3D contents real-time over a network with a narrow bandwidth such as a telephone line, methods for streaming and data compression can be considered indispensable...
Toshiki Hijiri, Kazuhiro Nishitani, Tim Cornish, T...