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Skip to Search Results- 2Abdi Oskouie, Mina
- 2Birkbeck, Neil Aylon Charles
- 2Cai, Zhipeng
- 2Chen, Jiyang
- 2Chowdhury, Md Solimul
- 2Chubak, Pirooz
- 83Machine Learning
- 76Reinforcement Learning
- 42Artificial Intelligence
- 37Machine learning
- 24Natural Language Processing
- 23reinforcement learning
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Spring 2017
Information extraction, extracting structured information from text, is a vital component for many natural language tasks such as question answering. It generally consists of two components: (1) named entity recognition (NER), identifying noun phrases that are names of organizations, persons, or...
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Towards efficient search methods in object tracking: An evaluation and application to precise tracking
DownloadFall 2015
Object tracking is a much researched subject in the computer vision community. With more and more tracking algorithms reported every year, standard benchmarking and evaluation methods are reported for long term tracking systems. We present a public dataset to evaluate trackers used for human and...
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Spring 2013
A very common form of collaborative work involves people working on shared resources, such as, for example, co-producing a project report, including editing text, cross-referencing citations and validating the budget or reviewing and authorizing different aspects of a loan application. All these...
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Fall 2019
Question answering (QA) is the task of automatically finding answers to natural language questions. A QA system requires access to some form of knowledge in order to find the answers. Most QA tasks use raw text corpora or structured knowledge bases as knowledge. However, raw text corpora,...
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Fall 2013
The issue-tracking systems used by software projects contain issues or bugs written by a wide variety of bug reporters, with different levels of knowledge about the system under development. Typically, reporters lack the skills and/or time to search the issue-tracking system for similar issues...
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Approximation Algorithms for Single-Minded Pricing and Unique Coverage on Graphs and Geometric Objects
DownloadSpring 2015
We study the Single-Minded Pricing, Unique Coverage, and Uniform-Budget Single-Minded Pricing problems on graphs and on geometric objects. In Single Minded Pricing, we are given a set of items and a collection of subsets of the items, called demands. For each demand, we are also given a budget....
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Learning Deep Representations, Embeddings and Codes from the Pixel Level of Natural and Medical Images
DownloadFall 2013
Significant research has gone into engineering representations that can identify high-level semantic structure in images, such as objects, people, events and scenes. Recently there has been a shift towards learning representations of images either on top of dense features or directly from the...