Publish in OALib Journal

ISSN: 2333-9721

APC: Only $99


Any time

2020 ( 27 )

2019 ( 356 )

2018 ( 1902 )

2017 ( 1801 )

Custom range...

Search Results: 1 - 10 of 120199 matches for " Jingdong Wang "
All listed articles are free for downloading (OA Articles)
Page 1 /120199
Display every page Item
Inner Product Similarity Search using Compositional Codes
Chao Du,Jingdong Wang
Computer Science , 2014,
Abstract: This paper addresses the nearest neighbor search problem under inner product similarity and introduces a compact code-based approach. The idea is to approximate a vector using the composition of several elements selected from a source dictionary and to represent this vector by a short code composed of the indices of the selected elements. The inner product between a query vector and a database vector is efficiently estimated from the query vector and the short code of the database vector. We show the superior performance of the proposed group $M$-selection algorithm that selects $M$ elements from $M$ source dictionaries for vector approximation in terms of search accuracy and efficiency for compact codes of the same length via theoretical and empirical analysis. Experimental results on large-scale datasets ($1M$ and $1B$ SIFT features, $1M$ linear models and Netflix) demonstrate the superiority of the proposed approach.
A simplified method for analysis of polyunsaturated fatty acids
Jing X Kang, Jingdong Wang
BMC Biochemistry , 2005, DOI: 10.1186/1471-2091-6-5
Abstract: We simplified the conventional method by combining the extraction and methylation into a single step (omitting the procedure of prior extraction). Various biological samples including cultured cells, animal tissues and human specimens have been tested using the new method. Statistical analysis indicates that the recovery of long chain fatty acids from tissue samples by the simplified method is significantly higher than that by the traditional method, but there is no difference in relative fatty acid composition between the two methods. This simplified method can significantly save time and materials, and reduce the potentials of sample loss and contamination.The lipid extraction procedure prior to methylation employed conventionally in lipid analysis can be omitted without affecting the recovery of long chain (≥ 18 C) fatty acids and their composition. The simplified method is rapid, easy-to-use, suitable for analysis of total long chain polyunsaturated fatty acid contents (e.g. n-6 and n-3 fatty acids) in various biological samples, especially when the number of samples to be analyzed is large and/or the specimen size is small.Fatty acid composition of cell membrane is an important determinant of cell function [1]. Manipulation of cellular fatty acid composition has been a widely used approach to modulating the biological responsiveness of different cell types. Recently, fatty acid profile, particularly the ratio of omega-6 (n-6) to omega-3 (n-3) polyunsaturated fatty acids, of cells or tissues has become a biomarker for monitoring the outcome of dietary interventions (i.e., fatty acid supplementation) and for identifying the risk factors for lipid related diseases (e.g. cardiovascular disease) [2]. Measurement of the n-6/n-3 fatty acid ratio can be also used to identify animal phenotypes, such as the fat-1 transgenic mice that we created recently [3]. Thus, analysis of fatty acid composition is a commonly used technique in lipid research.Analysis of fatty acid com
Synthesis of self-assembled needle-shaped calcium carbonate superstructures
LiNa Zhao,JingDong Feng,XiuYan Wang,ZiChen Wang
Chinese Science Bulletin , 2010, DOI: 10.1007/s11434-010-3283-4
Abstract: Novel self-assembled calcium carbonate (CaCO3) crystals exhibiting the morphology of well-defined needles were synthesized by a simple precipitation reaction in the presence of octadecyl dihydrogen phosphate (ODP) as a crystal additive. The CaCO3 obtained by this method is hydrophobic, making it likely to be used widely in industry. The resulting products were characterized by powder X-ray diffraction, field emission scanning electron microscopy, Fourier transform infrared spectroscopy and contact angle experiments. The results indicated that ODP plays an important role in determining the structure, morphology and hydrophobicity of CaCO3 crystals.
Fast Approximate $K$-Means via Cluster Closures
Jingdong Wang,Jing Wang,Qifa Ke,Gang Zeng,Shipeng Li
Computer Science , 2013,
Abstract: $K$-means, a simple and effective clustering algorithm, is one of the most widely used algorithms in multimedia and computer vision community. Traditional $k$-means is an iterative algorithm---in each iteration new cluster centers are computed and each data point is re-assigned to its nearest center. The cluster re-assignment step becomes prohibitively expensive when the number of data points and cluster centers are large. In this paper, we propose a novel approximate $k$-means algorithm to greatly reduce the computational complexity in the assignment step. Our approach is motivated by the observation that most active points changing their cluster assignments at each iteration are located on or near cluster boundaries. The idea is to efficiently identify those active points by pre-assembling the data into groups of neighboring points using multiple random spatial partition trees, and to use the neighborhood information to construct a closure for each cluster, in such a way only a small number of cluster candidates need to be considered when assigning a data point to its nearest cluster. Using complexity analysis, image data clustering, and applications to image retrieval, we show that our approach out-performs state-of-the-art approximate $k$-means algorithms in terms of clustering quality and efficiency.
Affecting Factors of the Competitive Sports’ Regional Differences in China  [PDF]
Lei Yao, Jingdong Chang
Open Journal of Social Sciences (JSS) , 2015, DOI: 10.4236/jss.2015.31012
Abstract: National game is the highest level of comprehensive sports games in China which is competed by each province (city and autonomous region) as unitary units. As the imbalance of economy and population among different provinces (cities and autonomous regions), there are imbalance of competitive sports developments. Breaking through the traditional mode of regarding provinces (cities or autonomous regions) as the units for comparison and analysis, this research adopts the approach of comparing six regions in administrative districts and defining seven indicators as factors influencing Chinese regional competitive sports developments. Through the way of linear regression, this essay gradually chooses the factors which exert effects on Chinese competitive sports’ regional differences. It is found that competitive strength, economical strength, in-team player, reserve player and on-the-job coach are the principal factors affecting Chinese competitive sports’ regional differences. Meanwhile, the essay tends to provide references for balance development between regions on China by establishing regression equation MS = 1.601 + 1.159 × XS3 + 0.300 × XS1 + 0.2497 × XS4 + 0.189 × XS5 + 0.181 × XS6 of Chinese competitive sports’ regional differences.
Preparation of Nickel Materials with Fractal Structure
Ruichun WANG,Jingdong GUO,Benlian ZHOU,

材料科学技术学报 , 2003,
Abstract: A way of manufacturing nickel material with fractal structure has been studied. Some algae with natural fractal structure were used as the basic substrates. The nickel was coated on the substrates by both electroless deposition and electrodeposition. After elimination of the foundational algae by erosion, dissolution etc, the pure nickel materials with fractal structure were obtained. At last, the specific surface area was analyzed by BET analyses and the fractal dimension of the nickel material was calculated by means of box-counting technique. The comparison of fractal dimension between Ni structure and natural algae was also given.
Hybrid Affinity Propagation
Jingdong Wang,Hao Xu,Xian-Sheng Hua,Shipeng Li
Computer Science , 2013,
Abstract: In this paper, we address a problem of managing tagged images with hybrid summarization. We formulate this problem as finding a few image exemplars to represent the image set semantically and visually, and solve it in a hybrid way by exploiting both visual and textual information associated with images. We propose a novel approach, called homogeneous and heterogeneous message propagation ($\text{H}^\text{2}\text{MP}$). Similar to the affinity propagation (AP) approach, $\text{H}^\text{2}\text{MP}$ reduce the conventional \emph{vector} message propagation to \emph{scalar} message propagation to make the algorithm more efficient. Beyond AP that can only handle homogeneous data, $\text{H}^\text{2}\text{MP}$ generalizes it to exploit extra heterogeneous relations and the generalization is non-trivial as the reduction to scalar messages from vector messages is more challenging. The main advantages of our approach lie in 1) that $\text{H}^\text{2}\text{MP}$ exploits visual similarity and in addition the useful information from the associated tags, including the associations relation between images and tags and the relations within tags, and 2) that the summary is both visually and semantically satisfactory. In addition, our approach can also present a textual summary to a tagged image collection, which can be used to automatically generate a textual description. The experimental results demonstrate the effectiveness and efficiency of the roposed approach.
Low-rank SIFT: An Affine Invariant Feature for Place Recognition
Chao Yang,Shengnan Caih,Jingdong Wang,Long Quan
Computer Science , 2014,
Abstract: In this paper, we present a novel affine-invariant feature based on SIFT, leveraging the regular appearance of man-made objects. The feature achieves full affine invariance without needing to simulate over affine parameter space. Low-rank SIFT, as we name the feature, is based on our observation that local tilt, which are caused by changes of camera axis orientation, could be normalized by converting local patches to standard low-rank forms. Rotation, translation and scaling invariance could be achieved in ways similar to SIFT. As an extension of SIFT, our method seeks to add prior to solve the ill-posed affine parameter estimation problem and normalizes them directly, and is applicable to objects with regular structures. Furthermore, owing to recent breakthrough in convex optimization, such parameter could be computed efficiently. We will demonstrate its effectiveness in place recognition as our major application. As extra contributions, we also describe our pipeline of constructing geotagged building database from the ground up, as well as an efficient scheme for automatic feature selection.
Hashing for Similarity Search: A Survey
Jingdong Wang,Heng Tao Shen,Jingkuan Song,Jianqiu Ji
Computer Science , 2014,
Abstract: Similarity search (nearest neighbor search) is a problem of pursuing the data items whose distances to a query item are the smallest from a large database. Various methods have been developed to address this problem, and recently a lot of efforts have been devoted to approximate search. In this paper, we present a survey on one of the main solutions, hashing, which has been widely studied since the pioneering work locality sensitive hashing. We divide the hashing algorithms two main categories: locality sensitive hashing, which designs hash functions without exploring the data distribution and learning to hash, which learns hash functions according the data distribution, and review them from various aspects, including hash function design and distance measure and search scheme in the hash coding space.
Deep Regression for Face Alignment
Baoguang Shi,Xiang Bai,Wenyu Liu,Jingdong Wang
Computer Science , 2014,
Abstract: In this paper, we present a deep regression approach for face alignment. The deep architecture consists of a global layer and multi-stage local layers. We apply the back-propagation algorithm with the dropout strategy to jointly optimize the regression parameters. We show that the resulting deep regressor gradually and evenly approaches the true facial landmarks stage by stage, avoiding the tendency to yield over-strong early stage regressors while over-weak later stage regressors. Experimental results show that our approach achieves the state-of-the-art
Page 1 /120199
Display every page Item

Copyright © 2008-2017 Open Access Library. All rights reserved.