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SODA
2001
ACM
147views Algorithms» more  SODA 2001»
15 years 7 months ago
Sublinear time approximate clustering
Clustering is of central importance in a number of disciplines including Machine Learning, Statistics, and Data Mining. This paper has two foci: 1 It describes how existing algori...
Nina Mishra, Daniel Oblinger, Leonard Pitt
ISCAS
2006
IEEE
92views Hardware» more  ISCAS 2006»
16 years 15 days ago
Model of a true random number generator aimed at cryptographic applications
— The paper presents a simple stochastic model of a True Random Number Generator, which extracts randomness from the tracking jitter of a phase-locked loop. The existence of such...
Martin Simka, Milos Drutarovský, Viktor Fis...
ICPR
2008
IEEE
16 years 7 months ago
Segmentation by combining parametric optical flow with a color model
We present a simple but efficient model for object segmentation in video scenes that integrates motion and color information in a joint probabilistic framework. Optical flow is mo...
Adrian Ulges, Thomas M. Breuel
NAACL
2004
15 years 7 months ago
Exponential Priors for Maximum Entropy Models
Maximum entropy models are a common modeling technique, but prone to overfitting. We show that using an exponential distribution as a prior leads to bounded absolute discounting b...
Joshua Goodman
ICWE
2005
Springer
16 years 5 hour ago
Level of Detail Concepts in Data-Intensive Web Applications
Abstract. Current data-intensive Web applications, such as on-line trading, ecommerce, corporate portals and so on, are becoming more and more complex, both in terms of density of ...
Sara Comai