Sciweavers

ICASSP
2010
IEEE
13 years 7 months ago
Recognition of phonemes and words in singing
This paper studies the influence of n-gram language models in the recognition of sung phonemes and words. We train uni-, bi-, and trigram language models for phonemes and bi- and...
Annamaria Mesaros, Tuomas Virtanen
ICASSP
2010
IEEE
13 years 7 months ago
Supervised topic model for automatic image annotation
This paper presents a new probabilistic model for the task of image annotation. Our model, which we call sLDA-bin, extends supervised Latent Dirichlet Allocation (sLDA) model to h...
Duangmanee Putthividhya, Hagai Thomas Attias, Srik...
ICASSP
2010
IEEE
13 years 7 months ago
Music dereverberation using harmonic structure source model and Wiener filter
This paper proposes a dereverberation method for musical audio signals. Existing dereverberation methods are designed for speech signals and are not necessarily effective for supp...
Naoki Yasuraoka, Takuya Yoshioka, Tomohiro Nakatan...
ICASSP
2010
IEEE
13 years 7 months ago
Morphology-based and sub-word language modeling for Turkish speech recognition
We explore morphology-based and sub-word language modeling approaches proposed for morphologically rich languages, and evaluate and contrast them for Turkish broadcast news transc...
Hasim Sak, Murat Saraclar, Tunga Güngör
ICASSP
2010
IEEE
13 years 7 months ago
Visual localization and segmentation based on foreground/background modeling
In this paper, we propose a novel method to localize (or track) a foreground object and segment the foreground object from the surrounding background with occlusions for a moving ...
Hanzi Wang, Tat-Jun Chin, David Suter
CVPR
2010
IEEE
13 years 7 months ago
Modeling pixel means and covariances using factorized third-order boltzmann machines
Learning a generative model of natural images is a useful way of extracting features that capture interesting regularities. Previous work on learning such models has focused on me...
Marc Aurelio Ranzato, Geoffrey E. Hinton
ICML
2010
IEEE
13 years 8 months ago
Forgetting Counts: Constant Memory Inference for a Dependent Hierarchical Pitman-Yor Process
We propose a novel dependent hierarchical Pitman-Yor process model for discrete data. An incremental Monte Carlo inference procedure for this model is developed. We show that infe...
Nicholas Bartlett, David Pfau, Frank Wood
ICML
2010
IEEE
13 years 8 months ago
Label Ranking Methods based on the Plackett-Luce Model
This paper introduces two new methods for label ranking based on a probabilistic model of ranking data, called the Plackett-Luce model. The idea of the first method is to use the ...
Weiwei Cheng, Krzysztof Dembczynski, Eyke Hül...
GD
2008
Springer
13 years 8 months ago
The Binary Stress Model for Graph Drawing
We introduce a new force-directed model for computing graph layout. The model bridges the two more popular force directed approaches – the stress and the electrical-spring models...
Yehuda Koren, Ali Civril
ICDCS
2010
IEEE
13 years 8 months ago
Link-Centric Probabilistic Coverage Model for Transceiver-Free Object Detection in Wireless Networks
Abstract--Sensing coverage is essential for most applications in wireless networks. In traditional coverage problem study, the disk coverage model has been widely applied because o...
Dian Zhang, Yunhuai Liu, Lionel M. Ni