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PAKDD
2005
ACM
168views Data Mining» more  PAKDD 2005»
15 years 12 months ago
Adaptive Nonlinear Auto-Associative Modeling Through Manifold Learning
We propose adaptive nonlinear auto-associative modeling (ANAM) based on Locally Linear Embedding algorithm (LLE) for learning intrinsic principal features of each concept separatel...
Junping Zhang, Stan Z. Li
IBPRIA
2003
Springer
15 years 11 months ago
Comparison of Log-linear Models and Weighted Dissimilarity Measures
Abstract. We compare two successful discriminative classification algorithms on three databases from the UCI and STATLOG repositories. The two approaches are the log-linear model ...
Daniel Keysers, Roberto Paredes, Enrique Vidal, He...
EMNLP
2007
15 years 7 months ago
Probabilistic Models of Nonprojective Dependency Trees
A notable gap in research on statistical dependency parsing is a proper conditional probability distribution over nonprojective dependency trees for a given sentence. We exploit t...
David A. Smith, Noah A. Smith
ECCV
2010
Springer
15 years 7 months ago
Towards Computational Models of Visual Aesthetic Appeal of Consumer Videos
In this paper, we tackle the problem of characterizing the aesthetic appeal of consumer videos and automatically classifying them into high or low aesthetic appeal. First, we condu...
ICASSP
2010
IEEE
15 years 6 months ago
Stochastic pronunciation modelling and soft match for out-of-vocabulary spoken term detection
A major challenge faced by a spoken term detection (STD) system is the detection of out-of-vocabulary (OOV) terms. Although a subword-based STD system is able to detect OOV terms,...
Dong Wang, Simon King, Joe Frankel, Peter Bell