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NECO
1998
116views more  NECO 1998»
15 years 6 months ago
GTM: The Generative Topographic Mapping
Latent variable models represent the probability density of data in a space of several dimensions in terms of a smaller number of latent, or hidden, variables. A familiar example ...
Christopher M. Bishop, Markus Svensén, Chri...
ICIP
2008
IEEE
16 years 8 months ago
Modeling spatial patterns of shapes
We introduce a framework for modeling spatial patterns of shapes formed by multiple objects in an image. Our approach is graph-based where each node denotes an object and attribut...
Anuj Srivastava, Wei Liu, Shantanu H. Joshi
151
Voted
DAC
2002
ACM
16 years 7 months ago
A general probabilistic framework for worst case timing analysis
CT The traditional approach to worst-case static-timing analysis is becoming unacceptably conservative due to an ever-increasing number of circuit and process effects. We propose a...
Michael Orshansky, Kurt Keutzer
ICASSP
2009
IEEE
16 years 1 months ago
Time-space-sequential algorithms for distributed Bayesian state estimation in serial sensor networks
We consider distributed estimation of a time-dependent, random state vector based on a generally nonlinear/non-Gaussian state-space model. The current state is sensed by a serial ...
Ondrej Hlinka, Franz Hlawatsch
CDC
2008
IEEE
114views Control Systems» more  CDC 2008»
16 years 1 months ago
Dynamic Traveling Repairperson Problem for dynamic systems
— In this paper, we study the Dynamic Traveling Repairman Problem (DTRP) for dynamic systems. In the DTRP, customers are arising dynamically and randomly in a bounded region R, a...
Sleiman Itani, Emilio Frazzoli, Munther A. Dahleh