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Article
Dimensionality reduction by t-Distribution adaptive manifold embedding
High-dimensional data are difficult to explore and analyze due to they are highly correlative and redundant. Although previous dimensionality reduction methods have achieved promising performance, there are st...
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Article
Correction to: robust two-phase registration method for three-dimensional point set under the bayesian mixture framework
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Article
Robust two-phase registration method for three-dimensional point set under the Bayesian mixture framework
In order to establish effective correspondences, a two-phase registration method for three-dimensional point set is proposed under the Bayesian mixture framework. In the first phase, the mixture model consiste...
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Article
Semi-supervised nonnegative matrix factorization with positive and negative label propagations
Semi-supervised nonnegative matrix factorization (SNMF) methods yield the enhanced representation ability over nonnegative matrix factorization (NMF) by incorporating the label information. Label propagation (...
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Article
Face clustering via learning a sparsity preserving low-rank graph
Face clustering aims to group the face images without any label information into clusters, and has recently attracted considerable attention in machine learning and data mining. Many graph based clustering met...
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Article
Geo-parcel-based geographical thematic map** using C5.0 decision tree: a case study of evaluating sugarcane planting suitability
Geographical thematic map** based on spatial information can effectively support scientific decision-making in Geosciences. To obtain finer spatial decision information, this paper proposes a geo-parcel-base...
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Chapter and Conference Paper
An Improved Class-Center Method for Text Classification Using Dependencies and WordNet
Automatic text classification is a research focus and core technology in natural language processing and information retrieval. The class-center vector method is an important text classification method, which ...
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Article
Computationally Efficient Mean-Shift Parallel Segmentation Algorithm for High-Resolution Remote Sensing Images
In high-resolution remote sensing image processing, segmentation is a crucial step that extracts information within the object-based image analysis framework. Because of its robustness, mean-shift segmentation...
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Article
Open AccessSimple Risk Score for Prediction of Early Recurrence of Hepatocellular Carcinoma within the Milan Criteria after Orthotopic Liver Transplantation
Ten to twenty percent of the hepatocellular carcinoma (HCC) patients fulfilling the Milan criteria (MC) recurred within three years after orthotopic liver transplantation (OLT). We therefore utilize a training...
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Chapter and Conference Paper
IacCE: Extended Taint Path Guided Dynamic Analysis of Android Inter-App Data Leakage
There exists a need for overall security analysis of a set of apps. We demonstrate IacCE, a tool implementing our approach that applies concolic execution on combined apps guided by extended Inter-App taint pa...
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Chapter and Conference Paper
CapaDroid: Detecting Capability Leak for Android Applications
Android app capabilities are restricted by the Android sand-boxing security enforcement. However, an app may leak its capabilities to other applications so that the latter can act beyond the permission they a...
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Chapter and Conference Paper
AppWalker: Efficient and Accurate Dynamic Analysis of Apps via Concolic Walking Along the Event-Dependency Graph
Dynamic analyzing techniques play an important and unique role in detecting Android malware and vulnerabilities, as they can provide higher precision than static methods. However, they are inherently incomple...
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Article
Prior Knowledge-Based Automatic Object-Oriented Hierarchical Classification for Updating Detailed Land Cover Maps
Automatic information extraction from optical remote sensing images is still a challenge for large-scale remote sensing applications. For instance, artificial sample collection cannot achieve an automatic remo...
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Chapter and Conference Paper
A PHD-Filter-Based Multitarget Tracking Algorithm for Sensor Networks
Because of their applications potentials, sensor networks have attracted much attention in recent years. The problem addressed in this paper is multitarget tracking in sensor networks. In order to strike a bal...
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Article
Scaled total-least-squares-based registration for optical remote sensing imagery
In optical image registration, the reference control points (RCPs) used as explanatory variables in the polynomial regression model are generally assumed to be error free. However, this most frequently used as...
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Chapter
Unscented Particle Implementation of Probability Hypothesis Density Filter for Multisensor Multitarget Tracking
Probability hypotheses density (PHD) filter based on finite set statistics (FISST) is an active research area in multisenor multitarget tracking research. It estimates jointly the time varying number of target...
