Search Results - "Shenghuo Zhu"

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  1. 1

    Regionlets for Generic Object Detection by Wang, Xiaoyu, Yang, Ming, Zhu, Shenghuo, Lin, Yuanqing

    “…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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    Conference Proceeding Journal Article
  2. 2

    Regionlets for Generic Object Detection by Wang, Xiaoyu, Yang, Ming, Zhu, Shenghuo, Lin, Yuanqing

    “…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. 3

    Community discovery using nonnegative matrix factorization by Wang, Fei, Li, Tao, Wang, Xin, Zhu, Shenghuo, Ding, Chris

    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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    Journal Article
  4. 4

    Efficient Object Detection and Segmentation for Fine-Grained Recognition by Angelova, Anelia, Shenghuo Zhu

    “…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. 5

    Fine-grained visual categorization via multi-stage metric learning by Qi Qian, Rong Jin, Shenghuo Zhu, Yuanqing Lin

    “…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. 6

    SumView: A Web-based engine for summarizing product reviews and customer opinions by Wang, Dingding, Zhu, Shenghuo, Li, Tao

    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. 7

    High-dimensional model recovery from random sketched data by exploring intrinsic sparsity by Yang, Tianbao, Zhang, Lijun, Lin, Qihang, Zhu, Shenghuo, Jin, Rong

    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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    Journal Article
  8. 8

    Resolution enhancement based on learning the sparse association of image patches by Wang, Jinjun, Zhu, Shenghuo, Gong, Yihong

    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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    Journal Article
  9. 9

    Regret bounded by gradual variation for online convex optimization by Yang, Tianbao, Mahdavi, Mehrdad, Jin, Rong, Zhu, Shenghuo

    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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    Journal Article
  10. 10

    Large-scale image classification: Fast feature extraction and SVM training by Yuanqing Lin, Fengjun Lv, Shenghuo Zhu, Ming Yang, Cour, T., Kai Yu, Liangliang Cao, Huang, T.

    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. 11

    Predicting query execution time: Are optimizer cost models really unusable? by Wentao Wu, Yun Chi, Shenghuo Zhu, Tatemura, J., Hacigumus, H., Naughton, J. F.

    “…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. 12

    Driving Safety Monitoring Using Semisupervised Learning on Time Series Data by Wang, Jinjun, Zhu, Shenghuo, Gong, Yihong

    “…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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    Journal Article
  13. 13

    SmartSLA: Cost-Sensitive Management of Virtualized Resources for CPU-Bound Database Services by Pengcheng Xiong, Yun Chi, Shenghuo Zhu, Hyun Jin Moon, Pu, Calton, Hacgumus, Hakan

    “…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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    Journal Article
  14. 14

    A Two-Level Topic Model Towards Knowledge Discovery from Citation Networks by Guo, Zhen, Zhang, Zhongfei Mark, Zhu, Shenghuo, Chi, Yun, Gong, Yihong

    “…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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    Journal Article
  15. 15

    Contextual weighting for vocabulary tree based image retrieval by Xiaoyu Wang, Ming Yang, Cour, T., Shenghuo Zhu, Kai Yu, Han, T. X.

    “…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. 16

    Feature Selection for Gene Expression Using Model-Based Entropy by Zhu, Shenghuo, Wang, Dingding, Yu, Kai, Li, Tao, Gong, Yihong

    “…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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    Journal Article
  17. 17

    Intelligent management of virtualized resources for database systems in cloud environment by Pengcheng Xiong, Yun Chi, Shenghuo Zhu, Hyun Jin Moon, Calton Pu, Hacigumus, H

    “…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. 18

    iOLAP: A Framework for Analyzing the Internet, Social Networks, and Other Networked Data by Yun Chi, Shenghuo Zhu, Hino, K., Yihong Gong, Yi Zhang

    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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    Journal Article
  19. 19

    FacetCube: a general framework for non-negative tensor factorization by Chi, Yun, Zhu, Shenghuo

    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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    Journal Article
  20. 20

    Music Clustering With Features From Different Information Sources by Tao Li, Ogihara, M., Wei Peng, Bo Shao, Shenghuo Zhu

    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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    Journal Article