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NIPS
2008
14 years 11 months ago
Multi-Level Active Prediction of Useful Image Annotations for Recognition
We introduce a framework for actively learning visual categories from a mixture of weakly and strongly labeled image examples. We propose to allow the categorylearner to strategic...
Sudheendra Vijayanarasimhan, Kristen Grauman
88
Voted
MICCAI
2009
Springer
15 years 10 months ago
Functional Segmentation of fMRI Data Using Adaptive Non-negative Sparse PCA (ANSPCA)
We propose a novel method for functional segmentation of fMRI data that incorporates multiple functional attributes such as activation effects and functional connectivity, under a ...
Bernard Ng, Rafeef Abugharbieh, Martin J. McKeow...
ECCV
2004
Springer
15 years 3 months ago
Probabilistic Spatial-Temporal Segmentation of Multiple Sclerosis Lesions
Abstract. In this paper we describe the application of a novel statistical videomodeling scheme to sequences of multiple sclerosis (MS) images taken over time. The analysis of the ...
Allon Shahar, Hayit Greenspan
FGR
2000
IEEE
159views Biometrics» more  FGR 2000»
15 years 2 months ago
Segmenting Hands of Arbitrary Color
Colorhasbeen widelyused for handsegmentation. However, many approaches rely on predefined skin color models. It is very difficult to predefine a color model in a mobile applica...
Xiaojin Zhu, Jie Yang, Alex Waibel
ICIP
2005
IEEE
15 years 3 months ago
HMM-based motion recognition system using segmented PCA
In this paper, we propose a novel technique for modelbased recognition of complex object motion trajectories using Hidden Markov Models (HMM). We build our models on Principal Com...
Faisal I. Bashir, Wei Qu, Ashfaq A. Khokhar, Dan S...