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Multiple Bernoulli relevance models for image and video annotation
TLDR
We show how we can do both automatic image annotation and retrieval (using one word queries) from images and videos using a multiple Bernoulli relevance model. Expand
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Relevance-Based Language Models
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Automatic image annotation and retrieval using cross-media relevance models
TLDR
We show that probabilistic models allow us to predict the probability of generating a word given the blobs in an image. Expand
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A Model for Learning the Semantics of Pictures
TLDR
We propose an approach to learning the semantics of images which allows us to automatically annotate an image with keywords and to retrieve images based on text queries. Expand
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Relevance-Based Language Models
TLDR
We explore the relation between classical probabilistic models of information retrieval and the emerging language modeling approaches. Expand
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Streaming First Story Detection with application to Twitter
TLDR
We present a FSD system that works in the streaming model and takes constant time to process each new document, while also using constant space. Expand
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On-Line New Event Detection and Tracking
TLDR
We define and describe the related problems of new event detection and event tracking within a stream of broadcast news stories within a strict on-line setting-i.e., the system must make decisions about one story before looking at any subsequent stories. Expand
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RT to Win! Predicting Message Propagation in Twitter
TLDR
Using a machine learning approach based on the passive-aggressive algorithm, we are able to automatically predict retweets as well as humans on this task. Expand
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Detections , Bounds , and Timelines : UMass and TDT-3
TLDR
This report presents the system used by the University of Massachusetts for its participation in three of the five TDT tasks this year: detection, first story detection, and story link detection. Expand
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Multiple Bernoulli relevance models for image and video annotation
TLDR
We show how we can do both automatic image annotation and retrieval (using one word queries) from images and videos using a multiple Bernoulli relevance model using a non-parametric kernel density estimate. Expand
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