Search Results - "Shenghuo Zhu"
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1
Regionlets for Generic Object Detection
Published in 2013 IEEE International Conference on Computer Vision (01-12-2013)“…Generic object detection is confronted by dealing with different degrees of variations in distinct object classes with tractable computations, which demands…”
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2
Regionlets for Generic Object Detection
Published in IEEE transactions on pattern analysis and machine intelligence (01-10-2015)“…Generic object detection is confronted by dealing with different degrees of variations, caused by viewpoints or deformations in distinct object classes, with…”
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Journal Article -
3
Community discovery using nonnegative matrix factorization
Published in Data mining and knowledge discovery (01-05-2011)“…Complex networks exist in a wide range of real world systems, such as social networks, technological networks, and biological networks. During the last…”
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4
Efficient Object Detection and Segmentation for Fine-Grained Recognition
Published in 2013 IEEE Conference on Computer Vision and Pattern Recognition (01-06-2013)“…We propose a detection and segmentation algorithm for the purposes of fine-grained recognition. The algorithm first detects low-level regions that could…”
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Conference Proceeding -
5
Fine-grained visual categorization via multi-stage metric learning
Published in 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (01-06-2015)“…Fine-grained visual categorization (FGVC) is to categorize objects into subordinate classes instead of basic classes. One major challenge in FGVC is the…”
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Conference Proceeding -
6
SumView: A Web-based engine for summarizing product reviews and customer opinions
Published in Expert systems with applications (01-01-2013)“…► We develop SumView, a Web-based system, to summarize product reviews and customer opinions. ► A prototype of the system can be found at…”
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Journal Article -
7
High-dimensional model recovery from random sketched data by exploring intrinsic sparsity
Published in Machine learning (01-05-2020)“…Learning from large-scale and high-dimensional data still remains a computationally challenging problem, though it has received increasing interest recently…”
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8
Resolution enhancement based on learning the sparse association of image patches
Published in Pattern recognition letters (2010)“…Example-based image super-resolution techniques model the co-occurrence patterns between the middle and high frequency layers of example images to estimate the…”
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9
Regret bounded by gradual variation for online convex optimization
Published in Machine learning (01-05-2014)“…Recently, it has been shown that the regret of the Follow the Regularized Leader (FTRL) algorithm for online linear optimization can be bounded by the total…”
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10
Large-scale image classification: Fast feature extraction and SVM training
Published in CVPR 2011 (01-06-2011)“…Most research efforts on image classification so far have been focused on medium-scale datasets, which are often defined as datasets that can fit into the…”
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Conference Proceeding -
11
Predicting query execution time: Are optimizer cost models really unusable?
Published in 2013 IEEE 29th International Conference on Data Engineering (ICDE) (01-04-2013)“…Predicting query execution time is useful in many database management issues including admission control, query scheduling, progress monitoring, and system…”
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Conference Proceeding -
12
Driving Safety Monitoring Using Semisupervised Learning on Time Series Data
Published in IEEE transactions on intelligent transportation systems (01-09-2010)“…This paper introduces a dangerous-driving warning system that uses statistical modeling to predict driving risks. The major challenge of the research is how to…”
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13
SmartSLA: Cost-Sensitive Management of Virtualized Resources for CPU-Bound Database Services
Published in IEEE transactions on parallel and distributed systems (01-05-2015)“…Virtualization-based multi-tenant database consolidation is an important technique for database-as-a-service (DBaaS) providers to minimize their total cost…”
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14
A Two-Level Topic Model Towards Knowledge Discovery from Citation Networks
Published in IEEE transactions on knowledge and data engineering (01-04-2014)“…Knowledge discovery from scientific articles has received increasing attention recently since huge repositories are made available by the development of the…”
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15
Contextual weighting for vocabulary tree based image retrieval
Published in 2011 International Conference on Computer Vision (01-11-2011)“…In this paper we address the problem of image retrieval from millions of database images. We improve the vocabulary tree based approach by introducing…”
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Conference Proceeding -
16
Feature Selection for Gene Expression Using Model-Based Entropy
Published in IEEE/ACM transactions on computational biology and bioinformatics (01-01-2010)“…Gene expression data usually contain a large number of genes but a small number of samples. Feature selection for gene expression data aims at finding a set of…”
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17
Intelligent management of virtualized resources for database systems in cloud environment
Published in 2011 IEEE 27th International Conference on Data Engineering (01-04-2011)“…In a cloud computing environment, resources are shared among different clients. Intelligently managing and allocating resources among various clients is…”
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Conference Proceeding -
18
iOLAP: A Framework for Analyzing the Internet, Social Networks, and Other Networked Data
Published in IEEE transactions on multimedia (01-04-2009)“…As the amount of noisy, unorganized, linked data on the Internet increases dramatically, how to efficiently analyze such data becomes a challenging research…”
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19
FacetCube: a general framework for non-negative tensor factorization
Published in Knowledge and information systems (01-10-2013)“…Non-negative tensor factorization (NTF) has been successfully used to extract significant characteristics from polyadic data, such as data in social networks…”
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20
Music Clustering With Features From Different Information Sources
Published in IEEE transactions on multimedia (01-04-2009)“…Efficient and intelligent music information retrieval is a very important topic of the 21st century. With the ultimate goal of building personal music…”
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