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The task of event coreference resolution plays a critical role in many natural language processing applications such as information extraction, question answering, and topic detection
and tracking. I...
Unsupervised Methods for Speaker Diarization: An Integrated and Iterative Approach
Bayesian nonparametric inference factor analysis HDP-HMM i-vectors principal component analysis speaker clustering speaker diarization spectral clustering variational Bayes
2014/11/27
Unsupervised Methods for Speaker Diarization: An Integrated and Iterative Approach.
Unsupervised Spoken Keyword Spotting via Segmental DTW on Gaussian Posteriorgrams
Unsupervised Spoken Keyword Spotting Segmental DTW Gaussian Posterior Grams
2014/11/27
In this paper, we present an unsupervised learning framework to address the problem of detecting spoken keywords. Without any transcription information, a Gaussian Mixture Model is trained to label sp...
Unsupervised Pattern Discovery in Speech
Speech processing unsupervised pattern discovery word acquisition
2014/11/27
We present a novel approach to speech processing based on the principle of pattern discovery. Our work represents a departure from traditional models of speech recognition, where the end goal is to cl...
Making Sense of Sound: Unsupervised Topic Segmentation over Acoustic Input
Making Sense of Sound Unsupervised Topic Segmentation over Acoustic Input
2014/11/27
We address the task of unsupervised topic segmentation of speech data operating over raw acoustic information. In contrast to existing algorithms for topic segmentation of speech, our approach does no...
UNSUPERVISED WORD ACQUISITION F ROM SPEECH USING PATTERN DISCOVERY
UNSUPERVISED WORD ACQUISITION SPEECH USING PATTERN
2014/11/27
In this paper, we present an unsupervised method for automatically discovering words from speech using a combination of acoustic pattern discovery, graph clustering, and baseform searching. The algori...
Unsupervised Learning of Dyadic Processes: Models, Methods, and Simulation
dyadic processes micro-social dynamics Hierarchical Dirichlet Hidden semi-Markov Model
2014/8/8
The dynamics that arise from dyadic processes, such as those
observed in married couples, generate a cascade of eectssome good
and some badon each partner, other family members, and other social ...
In this paper, we proposed a fast and robust unsupervised framework for anomaly detection and localization in crowed scenes. Our method avoids modeling the normal state of the crowds which is a very c...
The (batch) EM algorithm plays an important role in unsupervised induction, but it sometimes suffers from slow convergence. In this paper, we show that online variants (1) provide significant speedups...
We present the first unsupervised approach to the problem of learning a semantic parser, using Markov logic. Our USP system transforms dependency trees into quasi-logical forms, recursively induces la...
Unsupervised texture classification: Automatically discover and classify texture patterns
Unsupervised texture classifi cation NMF PLSI Invariant descriptor
2013/7/17
In this paper, we present a novel approach to classify texture collections. This approach does not require experts to provide annotated training set. Given the image collection, we extract a set of in...
Unsupervised Texture Classification: Automatically Discover and Classify Texture Patterns
Unsupervised Texture Classification Automatically Discover Classify Texture Patterns
2010/12/16
In this paper, we present a novel approach to classify texture collections. This approach does not require experts to provide annotated training set. Given the image collection,
we extract a set of i...