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NIPS
2004
15 years 8 months ago
Online Bounds for Bayesian Algorithms
We present a competitive analysis of Bayesian learning algorithms in the online learning setting and show that many simple Bayesian algorithms (such as Gaussian linear regression ...
Sham M. Kakade, Andrew Y. Ng
CVPR
2012
IEEE
13 years 9 months ago
2D/3D rotation-invariant detection using equivariant filters and kernel weighted mapping
In many vision problems, rotation-invariant analysis is necessary or preferred. Popular solutions are mainly based on pose normalization or brute-force learning, neglecting the in...
Kun Liu, Qing Wang, Wolfgang Driever, Olaf Ronnebe...
ICPR
2002
IEEE
16 years 7 months ago
Fractional Component Analysis (FCA) for Mixed Signals
This paper proposes the fractional component analysis (FCA), whose goal is to decompose the observed signal into component signals and recover their fractions. The uniqueness of o...
Asanobu Kitamoto
ISBI
2007
IEEE
16 years 1 months ago
Shape Analysis Using Curvature-Based Descriptors and Profile Hidden Markov Models
This paper presents a new framework for shape modeling and analysis. A shape instance is described by a curvature-based shape descriptor. A Profile Hidden Markov Model (PHMM) is ...
Rui Huang, Vladimir Pavlovic, Dimitris N. Metaxas
AIED
2007
Springer
16 years 29 days ago
Beyond the code-and-count analysis of tutoring dialogues
In this paper, we raise a methodological issue concerning the empirical analysis of tutoring dialogues: The frequencies of tutoring moves do not necessarily reveal their causal ef...
Stellan Ohlsson, Barbara Di Eugenio, Bettina Chow,...