Scott Deeann Chen

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Separating singing voices from music accompaniment is an important task in many applications, such as music information retrieval, lyric recognition and alignment. Music accompaniment can be assumed to be in a low-rank subspace, because of its repetition structure; on the other hand, singing voices can be regarded as relatively sparse within songs. In this(More)
This paper proposes learning algorithms for the problem of multimodal document classification. Specifically, we develop classifiers that automatically assign documents to categories by exploiting features from both text as well as image content. In particular, we use meta-classifiers that combine state-of-the-art text and image based classifiers into making(More)
We propose a heterogeneous information network mining algorithm: feature-enhanced Rank Class (F-Rank Class). F-Rank Class extends Rank Class to a unified classification framework that can be applied to binary or multiclass classification of unimodal or multimodal data. We experimented on a multimodal document dataset, 2008/9 Wikipedia Selection for Schools.(More)
We model and study the game mechanisms and human behavior of the anarchy mode in Twitch Plays Pokemon with a pure-jump continuous-time Markov process. We computed the winning probability and expected game time for 1 player and N players and identified when collaboration helps. A numerical plug-in example is also provided.
Traditional compression techniques optimize signal fidelity under a bit rate constraint. However, signals are often not only reconstructed for human evaluation purposes but also analyzed by machines. This paper introduces a two-part predictive (2PP) coding architecture intended for signal compression with the dual purposes of preserving signal fidelity and(More)
I. Introduction HE based contrast enhancement is achieved through the redistribution of intensity values. The resultant contrast enhanced image provides feature extraction in computer vision system. Histogram modification based techniques are the most popular techniques to achieve better contrast enhancement [1]. HE is one of the commonly used algorithms(More)
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