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» Learning Nonlinear Dynamic Models from Non-sequenced Data
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ICC
2009
IEEE
107views Communications» more  ICC 2009»
14 years 4 months ago
Dynamic Resource Modeling for Heterogeneous Wireless Networks
— High variability of access resources in heterogenous wireless networks and limited computing power and battery life of mobile computing devices such as smartphones call for nov...
Dimitrios Tsamis, Tansu Alpcan, Jatinder Pal Singh...
AAAI
2007
13 years 12 months ago
Adaptive Localization in a Dynamic WiFi Environment through Multi-view Learning
Accurately locating users in a wireless environment is an important task for many pervasive computing and AI applications, such as activity recognition. In a WiFi environment, a m...
Sinno Jialin Pan, James T. Kwok, Qiang Yang, Jeffr...
AMDO
2000
Springer
14 years 1 months ago
Model Adaptation and Posture Estimation of Moving Articulated Object Using Monocular Camera
This paper presents a method of estimating both 3-D shapes and moving poses of an articulated object from a monocular image sequence. Instead of using direct depth data, prior loo...
Nobutaka Shimada, Yoshiaki Shirai, Yoshinori Kuno
SIGGRAPH
2010
ACM
14 years 2 months ago
Stable spaces for real-time clothing
We present a technique for learning clothing models that enables the simultaneous animation of thousands of detailed garments in real-time. This surprisingly simple conditional mo...
Edilson de Aguiar, Leonid Sigal, Adrien Treuille, ...
JMLR
2006
143views more  JMLR 2006»
13 years 9 months ago
Segmental Hidden Markov Models with Random Effects for Waveform Modeling
This paper proposes a general probabilistic framework for shape-based modeling and classification of waveform data. A segmental hidden Markov model (HMM) is used to characterize w...
Seyoung Kim, Padhraic Smyth