21 Result(s)
within
Computer Science
Information Systems Applications (incl. Internet)
**ngli Li
-
Article
AKUPP: attention-enhanced joint propagation of knowledge and user preference for recommendation systems
As knowledge graphs have attracted enormous attention from researchers, much effort has been invested in recommendation systems to mine user preferences effectively. In particular, knowledge graphs, which conv...
-
Article
A learned index for approximate kNN queries in high-dimensional spaces
Approximate k-Nearest Neighbor (kNN) search in high-dimensional spaces is a fundamental problem in computer systems and applications. However, traditional indexes for kNN search do not scale gracefully to mass...
-
Chapter and Conference Paper
Cross Attention Based Style Distribution for Controllable Person Image Synthesis
Controllable person image synthesis task enables a wide range of applications through explicit control over body pose and appearance. In this paper, we propose a cross attention based style distribution module...
-
Chapter and Conference Paper
PMIQD 2019: A Pathological Microscopic Image Quality Database with Nonexpert and Expert Scores
In medical diagnostic analysis, pathological microscopic image is often regarded as a gold standard, and hence the study of pathological microscopic image is of great necessity. High quality microscopic pathol...
-
Chapter and Conference Paper
XDN: Towards Efficient Inference of Residual Neural Networks on Cambricon Chips
In this paper, we present XDN, an optimization and inference engine for accelerating residual neural networks on Cambricon chips. We leverage a channel pruning method to compress the weights of ResNet-50. By ...
-
Chapter and Conference Paper
Preliminary Study on Visual Attention Maps of Experts and Nonexperts When Examining Pathological Microscopic Images
Pathological microscopic image is regarded as a gold standard for the diagnosis of disease, and eye tracking technology is considered as a very effective tool for medical education. It will be very interesting...
-
Chapter and Conference Paper
Age Estimation via Pose-Invariant 3D Face Alignment Feature in 3 Streams of CNN
This paper proposes an algorithm for age estimation intentionally considering the pose variation and local deformation of faces. Pose-invariant patches are extracted in face region, and they are located from t...
-
Chapter and Conference Paper
Person Re-id by Incorporating PCA Loss in CNN
This paper proposes an algorithm, particularly a loss function and its end to end learning manner, for person re-identification task. The main idea is to take full advantage of the labels in a batch during tra...
-
Chapter and Conference Paper
Source Selection for Inconsistency Detection
Inconsistencies in a database can be detected based on violations of integrity constraints, such as functional depencies (FDs). In big data era, many related data sources give us the chance of detecting incons...
-
Chapter and Conference Paper
Entity Resolution in Big Data Era: Challenges and Applications
Entity resolution plays an important role in many fields. Due to its importance, it has been widely studied. However, in big data era, entity resolution brings new challenges including high scalability, coexis...
-
Chapter and Conference Paper
Integration of Big Data: A Survey
Data integration provides users a uniform interface for multiple heterogonous data sources. This problem has attracted a large amount of attention from both research and industry areas. In this paper, we overv...
-
Chapter and Conference Paper
Age Estimation by Refining Label Distribution in Deep CNN
This paper proposes an age estimation algorithm by refining the label distribution in a deep learning framework. There are two tasks during the training period of our algorithm. The first one finds the optimal...
-
Chapter and Conference Paper
Feature Extraction for Effective Content-Based Cloth Image Retrieval in E-Commerce
Cloth image retrieval in E-Commerce is a challenging task. In this paper, we propose an effective approach to solve this problem. Our work chooses three features for retrieval: (1) description (2) category (3...
-
Chapter and Conference Paper
A New Method of Object Saliency Detection in Foggy Images
Aiming to saliency detection problem of degraded foggy images, a new method of object saliency detection method in foggy images based on region covariance matrix is presented. In the method, color, direction a...
-
Chapter and Conference Paper
A Multi-parameter Integrated Water Quality Sensors System
Because of the rapid development of aquaculture in China at present, it is more and more urgent to apply hi-tech devices in aquaculture field to guarantee its efficiency. There are already many devices used fo...
-
Chapter and Conference Paper
A Prediction Model Based on Time Series Data in Intelligent Transportation System
Intelligent Transportation System has a new kind of complicated time series data which would be the traffic flow, average speed or some other traffic condition information at the same time period. All above da...
-
Chapter and Conference Paper
Evaluation and Recommendation Methods Based on Graph Model
Evaluation and recommendation are different actions, but they are consistent in mining and using information efficiently and effectively to improve their persuasiveness and accuracy. From the view of informati...
-
Chapter and Conference Paper
Research on Constitution and Application of Digital Learning Resources of Wu Culture
As splendid traditional culture, Wu Culture plays a very important role in accelerating the constructing of school culture and human resources training. With the increasing demands for Wu culture resources of ...
-
Chapter and Conference Paper
EIF: A Framework of Effective Entity Identification
Entity identification, that is to build corresponding relationships between objects and entities in dirty data, plays an important role in data cleaning. The confusion between entities and their names often re...
-
Chapter and Conference Paper
Efficient Algorithms for Skyline Top-K Keyword Queries on XML Streams
Keywords are suitable for query XML streams without schema information. In current forms of keywords search on XML streams, rank functions do not always represent users’ intentions. This paper addresses this p...
