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» OCR in a Hierarchical Feature Space
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ESANN
2004
15 years 3 days 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»
15 years 11 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 3 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»
15 years 7 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 3 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...