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TNN
2008
132views more  TNN 2008»
13 years 7 months ago
Just-in-Time Adaptive Classifiers - Part I: Detecting Nonstationary Changes
Abstract--The stationarity requirement for the process generating the data is a common assumption in classifiers' design. When such hypothesis does not hold, e.g., in applicat...
Cesare Alippi, Manuel Roveri
ICDM
2003
IEEE
184views Data Mining» more  ICDM 2003»
14 years 1 months ago
Detecting Patterns of Change Using Enhanced Parallel Coordinates Visualization
Analyzing data to find trends, correlations, and stable patterns is an important problem for many industrial applications. In this paper, we propose a new technique based on paral...
Kaidi Zhao, Bing Liu, Thomas M. Tirpak, Andreas Sc...
CONIELECOMP
2011
IEEE
12 years 11 months ago
FPGA design and implementation for vertex extraction of polygonal shapes
This work focuses on developing systems of blocks in SIMULINK and VHDL to reuse on design of applications involving the recognition of polygonal objects. Usage of this work reduce...
Jorge Martínez-Carballido, Jorge Guevara-Es...
CLOR
2006
13 years 11 months ago
Synergistic Face Detection and Pose Estimation with Energy-Based Models
We describe a novel method for real-time, simultaneous multi-view face detection and facial pose estimation. The method employs a convolutional network to map face images to point...
Margarita Osadchy, Yann LeCun, Matthew L. Miller
ACMSE
2005
ACM
14 years 1 months ago
Investigating hidden Markov models capabilities in anomaly detection
Hidden Markov Model (HMM) based applications are common in various areas, but the incorporation of HMM's for anomaly detection is still in its infancy. This paper aims at cla...
Shrijit S. Joshi, Vir V. Phoha