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ICMCS
2009
IEEE
161views Multimedia» more  ICMCS 2009»
15 years 2 months ago
Novel VQ with constraints on the quantization error distribution
In this paper, we motivate and introduce a novel vector quantization (VQ) scheme for distributing the quantization error among the quantized features of a continuous feature vecto...
Joachim Schenk, Frank Wallhoff, Gerhard Rigoll
ICPR
2000
IEEE
16 years 5 months ago
General Bias/Variance Decomposition with Target Independent Variance of Error Functions Derived from the Exponential Family of D
An important theoretical tool in machine learning is the bias/variance decomposition of the generalization error. It was introduced for the mean square error in [3]. The bias/vari...
Jakob Vogdrup Hansen, Tom Heskes
CSCW
2010
ACM
16 years 1 months ago
Sources of errors in distributed development projects: implications for collaborative tools
An important dimension of success in development projects is the quality of the new product. Researchers have primarily concentrated on developing and evaluating processes to redu...
Marcelo Cataldo
ICMCS
2008
IEEE
191views Multimedia» more  ICMCS 2008»
15 years 11 months ago
Hybrid spatial and temporal error concealment for distributed video coding
Distributed Video Coding (DVC) is based on a new paradigm in coding, which has received many interests recently. This paper proposes a hybrid spatial and temporal error concealmen...
Shuiming Ye, Mourad Ouaret, Frédéric...
TIT
2010
118views Education» more  TIT 2010»
14 years 11 months ago
Joint sampling distribution between actual and estimated classification errors for linear discriminant analysis
Error estimation must be used to find the accuracy of a designed classifier, an issue that is critical in biomarker discovery for disease diagnosis and prognosis in genomics and p...
Amin Zollanvari, Ulisses Braga-Neto, Edward R. Dou...