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ICPR
2004
IEEE
14 years 11 months ago
Learning Sample Subspace with Application to Face Detection
In this paper, we present a novel maximum correlation sample subspace method and apply it to human face detection [1] in still images. The algorithm starts by projecting all the t...
Guoping Qiu, Jianzhong Fang
FCSC
2007
159views more  FCSC 2007»
13 years 10 months ago
Ranking with uncertain labels and its applications
1 The techniques for image analysis and classi cation generally consider the image sample labels xed and without uncertainties. The rank regression problem is studied in this pape...
Shuicheng Yan, Huan Wang, Jianzhuang Liu, Xiaoou T...
PAMI
2006
143views more  PAMI 2006»
13 years 10 months ago
Variational Bayes for Continuous Hidden Markov Models and Its Application to Active Learning
In this paper we present a variational Bayes (VB) framework for learning continuous hidden Markov models (CHMMs), and we examine the VB framework within active learning. Unlike a ...
Shihao Ji, Balaji Krishnapuram, Lawrence Carin
ICSE
1997
IEEE-ACM
14 years 2 months ago
Designing Distributed Applications with Mobile Code Paradigms
Large scale distributed systems are becoming of paramount importance, due to the evolution of technology and to the interest of market. Their development, however, is not yet supp...
Antonio Carzaniga, Gian Pietro Picco, Giovanni Vig...
ARC
2008
Springer
104views Hardware» more  ARC 2008»
13 years 12 months ago
PARO: Synthesis of Hardware Accelerators for Multi-Dimensional Dataflow-Intensive Applications
Abstract. In this paper, we present the PARO design tool for the automated hardware synthesis of massively parallel embedded architectures for given dataflow dominant applications....
Frank Hannig, Holger Ruckdeschel, Hritam Dutta, J&...