图 书 馆开课单位--马里兰大学
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11Extracting Relevant Named Entities for Automated Expense Reimbursement[提取相关命名实体的自动费用报销]
Guangyu Zhu(马里兰大学) Expense reimbursement is a time-consuming and labor-intensive process across organizations. In this talk, we present an automated expense reimbursemen...
热度：28
Guangyu Zhu(马里兰大学) Expense reimbursement is a time-consuming and labor-intensive process across organizations. In this talk, we present an automated expense reimbursemen...
热度：28
12Aligning Temporal Data by Sentinel Events: Discovering Patterns in Electronic Health Records[对时态数据的哨兵事件：在电子健康记录，发现模式]
Catherine Plaisant(马里兰大学) Finding prevalent precursor, co-occurring, and after effect event sin patient records is difficult. We demonstrate how temporal alignment can effectiv...
热度：43
Catherine Plaisant(马里兰大学) Finding prevalent precursor, co-occurring, and after effect event sin patient records is difficult. We demonstrate how temporal alignment can effectiv...
热度：43
13Knowing a Good HOG Filter When You See It: Efficient Selection of Filters for Detection[当你看到一个好的HOG过滤器时就知道它：检测过滤器的有效选择]
Ejaz Ahmed(马里兰大学) Collections of filters based on histograms of oriented gradients (HOG) are common for several detection methods, notably, poselets and exemplar SVMs. ...
热度：65
Ejaz Ahmed(马里兰大学) Collections of filters based on histograms of oriented gradients (HOG) are common for several detection methods, notably, poselets and exemplar SVMs. ...
热度：65
14Knowledge Graph Identification[知识图识别]
Jay Pujara(马里兰大学) Large-scale information processing systems are able to extract massive collections of interrelated facts, but unfortunately transforming these candida...
热度：47
Jay Pujara(马里兰大学) Large-scale information processing systems are able to extract massive collections of interrelated facts, but unfortunately transforming these candida...
热度：47
15Beyond Active Noun Tagging: Modeling Contextual Interactions for Multi-Class Active Learning[超越主动名词标记：多类主动学习的上下文交互建模]
Behjat Siddiquie(马里兰大学) We present an active learning framework to simultaneously learn appearance and contextual models for scene understanding tasks (multi-class classifica...
热度：49
Behjat Siddiquie(马里兰大学) We present an active learning framework to simultaneously learn appearance and contextual models for scene understanding tasks (multi-class classifica...
热度：49
16Wikipedia as an Ontology for Describing Documents[维基百科作为描述文件的一个本体论]
Zareen Syed(马里兰大学) Wikipedia as an Ontology for Describing Documents
热度：38
Zareen Syed(马里兰大学) Wikipedia as an Ontology for Describing Documents
热度：38
17You Are Where You Edit: Locating Wikipedia Contributors Through Edit Histories [你是你编辑的地方：通过编辑历史定位维基百科的贡献者]
Michael D. Lieberman(马里兰大学) Whether knowingly or otherwise, Wikipedia contributors reveal their interests and expertise through their contribution patterns. An analysis of Wikipe...
热度：47
Michael D. Lieberman(马里兰大学) Whether knowingly or otherwise, Wikipedia contributors reveal their interests and expertise through their contribution patterns. An analysis of Wikipe...
热度：47
18MineFleet®: An Overview of a Widely Adopted Distributed Vehicle Performance Data Mining System[MineFleet®：概述广泛采用的分布式车辆性能数据挖掘系统]
Hillol Kargupta(马里兰大学) This paper describes the MineFleet distributed vehicle performance data mining system designed for commercial fleets. MineFleet analyzes high throughp...
热度：53
Hillol Kargupta(马里兰大学) This paper describes the MineFleet distributed vehicle performance data mining system designed for commercial fleets. MineFleet analyzes high throughp...
热度：53
19Polyhedral Classifier for Target Detection A Case Study[多面体的分类器进行目标检测的一个案例研究]
Vikas Raykar(马里兰大学) In this study we introduce a novel algorithm for learning a polyhedron to describe the target class. The proposed approach takes advantage of the limi...
热度：58
Vikas Raykar(马里兰大学) In this study we introduce a novel algorithm for learning a polyhedron to describe the target class. The proposed approach takes advantage of the limi...
热度：58
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