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PERCOM
2003
ACM
15 years 3 months ago
Recognition of Human Activity through Hierarchical Stochastic Learning
Seeking to extend the functional capability of the elderly, we explore the use of probabilistic methods to learn and recognise human activity in order to provide monitoring suppor...
Sebastian Lühr, Hung Hai Bui, Svetha Venkates...
SYRCODIS
2008
95views Database» more  SYRCODIS 2008»
14 years 11 months ago
The Framework for Study Of Caching Algorithm Efficiency
In this paper we offer several models of reference sequences (traces of references) using Markov chains for testing of the replacement policies in caching systems. These models en...
Michael V. Grankov, Ngo Thanh Hung, Mosab Bassam Y...
DAC
1997
ACM
15 years 1 months ago
Sequence Compaction for Probabilistic Analysis of Finite-State Machines
- The objective of this paper is to provide an effective technique for accurate modeling of the external input sequences that affect the behavior of Finite State Machines (FSMs). T...
Diana Marculescu, Radu Marculescu, Massoud Pedram
JCB
2000
91views more  JCB 2000»
14 years 9 months ago
Scaling Laws and Similarity Detection in Sequence Alignment with Gaps
We study the problem of similarity detection by sequence alignment with gaps, using a recently established theoretical framework based on the morphology of alignment paths. Alignm...
Dirk Drasdo, Terence Hwa, Michael Lässig
ICMCS
2006
IEEE
139views Multimedia» more  ICMCS 2006»
15 years 3 months ago
Automatic Semantic Annotation of Images using Spatial Hidden Markov Model
This paper presents a new spatial-HMM(SHMM)for automatically classifying and annotating natural images. Our model is a 2D generalization of the traditional HMM in the sense that b...
Feiyang Yu, Horace Ho-Shing Ip