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NIPS
2004
13 years 9 months ago
Common-Frame Model for Object Recognition
A generative probabilistic model for objects in images is presented. An object consists of a constellation of features. Feature appearance and pose are modeled probabilistically. ...
Pierre Moreels, Pietro Perona
TOG
2002
154views more  TOG 2002»
13 years 7 months ago
Image based flow visualization
A new method for the visualization of two-dimensional fluid flow is presented. The method is based on the advection and decay of dye. These processes are simulated by defining eac...
Jarke J. van Wijk
AAAI
2012
11 years 10 months ago
Ontological Smoothing for Relation Extraction with Minimal Supervision
Relation extraction, the process of converting natural language text into structured knowledge, is increasingly important. Most successful techniques use supervised machine learni...
Congle Zhang, Raphael Hoffmann, Daniel S. Weld
CVPR
2009
IEEE
1524views Computer Vision» more  CVPR 2009»
15 years 3 months ago
3D Pose Estimation and Segmentation using Specular Cues
We present a system for fast model-based segmentation and 3D pose estimation of specular objects using appearance based specular features. We use observed (a) specular reflection...
Ju Yong Chang, Ramesh Raskar, Amit K. Agrawal
GECCO
2004
Springer
137views Optimization» more  GECCO 2004»
14 years 1 months ago
Achieving Shorter Search Times in Voice Conversion Using Interactive Evolution
We have already proposed using evolutionary computation to adjust the voice quality conversion parameters, and we have reported that this approach produces results that are not onl...
Yuji Sato