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NIPS
2008
14 years 11 months ago
Analyzing human feature learning as nonparametric Bayesian inference
Almost all successful machine learning algorithms and cognitive models require powerful representations capturing the features that are relevant to a particular problem. We draw o...
Joseph Austerweil, Thomas L. Griffiths
JCDL
2003
ACM
231views Education» more  JCDL 2003»
15 years 3 months ago
Acquisition, Representation, Query and Analysis of Spatial Data: A Demonstration 3D Digital Library
The increasing power of techniques to model complex geometry and extract meaning from 3D information create complex data that must be described, stored, and displayed to be useful...
Jeremy Rowe, Anshuman Razdan, Arleyn Simon
IJCV
2002
141views more  IJCV 2002»
14 years 9 months ago
Spatio-Temporal Stereo Using Multi-Resolution Subdivision Surfaces
We present a method to automatically extract spatio-temporal descriptions of moving objects from synchronized and calibrated multi-view sequences. The object is modeled by a time-...
Jan Neumann, Yiannis Aloimonos
KDD
2006
ACM
147views Data Mining» more  KDD 2006»
15 years 10 months ago
Summarizing itemset patterns using probabilistic models
In this paper, we propose a novel probabilistic approach to summarize frequent itemset patterns. Such techniques are useful for summarization, post-processing, and end-user interp...
Chao Wang, Srinivasan Parthasarathy
ICPR
2006
IEEE
15 years 11 months ago
Structural flow smoothing for shape interpolation
This paper presents a comparative study of robust diffusion algorithms when used for smoothing structural fields applied in volumetric image interpolation. The input data consists...
Adrian G. Bors, Ashish Doshi