This paper presents a statistical model for explaining why skewed-associativity removes conflicts better than setassociativity. We show that, with a high probability, 2-way skewe...
Biomedical imaging of large patient populations, both cross-sectionally and longitudinally, is becoming a standard technique for noninvasive, in-vivo studies of the pathophysiolog...
In this paper, we present a “value mapping” algorithm that does not rely on syntactic similarity or semantic interpretation of the values. The algorithm first constructs a st...
Jaewoo Kang, Tae Sik Han, Dongwon Lee, Prasenjit M...
We describe a slightly subexponential time algorithm for learning parity functions in the presence of random classification noise, a problem closely related to several cryptograph...
The aim of this paper is to propose tools for statistical analysis of shape families using morphological operators. Given a series of shape families (or shape categories), the appr...