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KDD
2012
ACM
207views Data Mining» more  KDD 2012»
13 years 1 months ago
Robust multi-task feature learning
Multi-task learning (MTL) aims to improve the performance of multiple related tasks by exploiting the intrinsic relationships among them. Recently, multi-task feature learning alg...
Pinghua Gong, Jieping Ye, Changshui Zhang
CVPR
2000
IEEE
16 years 1 months ago
Statistical cues for Domain Specific Image Segmentation with Performance Analysis
This paper investigates the use of colour and texture cues for segmentation of images within two specified domains. The first is the Sowerby dataset, which contains one hundred co...
Scott Konishi, Alan L. Yuille
CVPR
2004
IEEE
16 years 1 months ago
Studies on Silhouette Quality and Gait Recognition
Recognition of a person from gait has been a recent focus in computer vision. It is one biometric source that can be acquired at a distance. At this nascent stage of gait recognit...
Zongyi Liu, Laura Malave, Sudeep Sarkar
CVPR
2006
IEEE
16 years 1 months ago
Semi-Supervised Classification Using Linear Neighborhood Propagation
We consider the general problem of learning from both labeled and unlabeled data. Given a set of data points, only a few of them are labeled, and the remaining points are unlabele...
Fei Wang, Changshui Zhang, Helen C. Shen, Jingdong...
CVPR
2006
IEEE
16 years 1 months ago
Joint Boosting Feature Selection for Robust Face Recognition
A fundamental challenge in face recognition lies in determining what facial features are important for the identification of faces. In this paper, a novel face recognition framewo...
Rong Xiao, Wu-Jun Li, Yuandong Tian, Xiaoou Tang