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» Input Modeling Using Quantile Statistical Methods
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JMLR
2002
138views more  JMLR 2002»
15 years 2 months ago
Learning Probabilistic Models of Link Structure
Most real-world data is heterogeneous and richly interconnected. Examples include the Web, hypertext, bibliometric data and social networks. In contrast, most statistical learning...
Lise Getoor, Nir Friedman, Daphne Koller, Benjamin...
ICPR
2004
IEEE
16 years 4 months ago
Face Detection Using Discriminating Feature Analysis and Support Vector Machine in Video
This paper presents a novel face detection method in video by using Discriminating Feature Analysis (DFA) and Support Vector Machine (SVM). Our method first incorporates temporal ...
Chengjun Liu, Peichung Shih
AROBOTS
1999
104views more  AROBOTS 1999»
15 years 2 months ago
Reinforcement Learning Soccer Teams with Incomplete World Models
We use reinforcement learning (RL) to compute strategies for multiagent soccer teams. RL may pro t signi cantly from world models (WMs) estimating state transition probabilities an...
Marco Wiering, Rafal Salustowicz, Jürgen Schm...
DATE
2008
IEEE
125views Hardware» more  DATE 2008»
15 years 9 months ago
Current source based standard cell model for accurate signal integrity and timing analysis
— The inductance and coupling effects in interconnects and non-linear receiver loads has resulted in complex input signals and output loads for gates in the modern deep submicron...
Amit Goel, Sarma B. K. Vrudhula
ICRA
2008
IEEE
151views Robotics» more  ICRA 2008»
15 years 9 months ago
Landing a UAV on a runway using image registration
— In this paper we present a system that uses only vision to land a UAV on a runway. We describe a method for estimating the relative location of the runway as an image by perfor...
Andrew Miller, Mubarak Shah, Don Harper