Sciweavers

CLEF
2007
Springer
14 years 5 months ago
Simple Morpheme Labelling in Unsupervised Morpheme Analysis
This paper presents my participation to the second Morpho Challenge. Results have been obtained with the algorithm already presented at Morpho Challenge 2005. The system takes a p...
Delphine Bernhard
ICASSP
2008
IEEE
14 years 5 months ago
A new mutual information measure for independent component alalysis
Independent component analysis (ICA) is a popular approach for blind source separation (BSS). In this study, we develop a new mutual information measure for BSS and unsupervised l...
Jen-Tzung Chien, Hsin-Lung Hsieh, Sadaoki Furui
FGR
2008
IEEE
208views Biometrics» more  FGR 2008»
14 years 5 months ago
Unsupervised learning from local features for video-based face recognition
This paper presents an unsupervised learning approach to video-based face recognition that does not make any assumptions about the pose, expressions or prior localization of landm...
Ajmal Mian
CRV
2009
IEEE
206views Robotics» more  CRV 2009»
14 years 6 months ago
Unsupervised Learning of Terrain Appearance for Automated Coral Reef Exploration
We describe a navigation and coverage system based on unsupervised learning driven by visual input. Our objective is to allow a robot to remain continuously moving above a terrain...
Philippe Giguère, Gregory Dudek, Chris Prah...
ICCV
2003
IEEE
15 years 1 months ago
Bayesian Clustering of Optical Flow Fields
We present a method for unsupervised learning of classes of motions in video. We project optical flow fields to a complete, orthogonal, a-priori set of basis functions in a probab...
Jesse Hoey, James J. Little
CVPR
2007
IEEE
15 years 1 months ago
Unsupervised Learning of Image Transformations
Roland Memisevic, Geoffrey E. Hinton
CVPR
2007
IEEE
15 years 1 months ago
Adaptive Distance Metric Learning for Clustering
A good distance metric is crucial for unsupervised learning from high-dimensional data. To learn a metric without any constraint or class label information, most unsupervised metr...
Jieping Ye, Zheng Zhao, Huan Liu
CVPR
2005
IEEE
15 years 1 months ago
A Bayesian Hierarchical Model for Learning Natural Scene Categories
We propose a novel approach to learn and recognize natural scene categories. Unlike previous work [9, 17], it does not require experts to annotate the training set. We represent t...
Fei-Fei Li 0002, Pietro Perona, California Institu...
CVPR
2005
IEEE
15 years 1 months ago
Unsupervised Learning of Object Features from Video Sequences
Marius Leordeanu, Robert T. Collins
CVPR
2009
IEEE
15 years 6 months ago
Unsupervised Learning of Hierarchical Spatial Structures In Images
The visual world demonstrates organized spatial patterns, among objects or regions in a scene, object-parts in an object, and low-level features in object-parts. These classes o...
Devi Parikh (Carnegie Mellon University), C. Lawre...