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Terrain-aided navigation is well known as an autonomous navigation method for aircrafts, missiles, underwater vehicles, and etc. The performance of iterative closest contour point (ICCP) algorithm is investigated in this paper deeply. The factors, including, the INS (inertial navigation system) precision, the map resolution, initial INS errors, the sonar accuracy, and the matching path length, which...
Studies have shown that understanding of interprocess communication patterns is an enabler to effective analysis of high performance computing (HPC) applications. In previous work, we presented an algorithm for recovering communication patterns from traces of HPC systems. The algorithm worked well on small cases but it suffered from low accuracy when applied to large (and most interesting) traces...
This paper presents a weighted support vector machine (WSVM) based on association rules for two-class classification problems. The basic idea of the WSVM is to assign different weights to different data points to minimize impacts of outliers. In this paper, we apply association rules to generate weights to prevent bias to the majority class for imbalanced binary classification problems. Experimental...
In this paper, an efficient geography registration method for INSAR coherent change detection is proposed. In the algorithm, considering Terra-SAR image, firstly we do geography registration on two images by oversampling the geography information in master image, then do coarse and fine registration. In coarse registration, find the range and azimuth shifts by calculating the cross correlation of...
Since more and more motion data are created, the reuse of motion data becomes increasingly important. We present a method to reconstruct a 3D figure animation based on 2D user-defined moiton on our motion database. First, a novel interactive interface for defining the input query is persented. Users can draw a series of stick figure of 2D human motion through it. These actions have a certain mount...
In this paper, a Quasi-shot Segmentation Vehicle Detection (QSVD) method is proposed to improve the accuracy and robustness of traffic flow detection. The QSVD method is based on histogram intersection method to find the biggest difference between successive frames. Adjacent frames are considered in when vehicle is detected in current frame. Relying on the QSVD method, vehicle can be detected by signal...
This paper proposes an improved design approach for high order switched-capacitor (SC) band-pass filters. The de-normalized LC filter prototype is obtained directly using the proposed approach. The signal flow graph (SFG) of the LC prototype is obtained using active ladder synthesis method. A new node scaling method for simplifying the signal flow graph of the filters is proposed. With the node scaling,...
In this paper, we proposed an advanced face analysis platform for large-scale consumer photos, namely PFAP. Leveraging Client/Server architecture, the platform provides users high-performance face clustering and near-real time image retrieval service. Advanced face analysis schema, two-level parallel computing architecture and analysis as a service are three key innovations in PFAP. In face analysis...
The problem of large-scale image search has been traditionally addressed with the bag-of-visual-words (BOV). In this article, we propose to use as an alternative the Fisher kernel framework. We first show why the Fisher representation is well-suited to the retrieval problem: it describes an image by what makes it different from other images. One drawback of the Fisher vector is that it is high-dimensional...
Kernel machines rely on an implicit mapping of the data such that non-linear classification in the original space corresponds to linear classification in the new space. As kernel machines are difficult to scale to large training sets, it has been proposed to perform an explicit mapping of the data and to learn directly linear classifiers in the new space. In this paper, we consider the problem of...
Contour mapping is an energy-efficient method for geographic correlated value monitoring in Wireless Sensor Networks(WSNs), it suppresses reporting nodes by selecting nodes that are on a contour line. A sensor network is often densely deployed in applications such as temperature or humidity monitoring. In these applications, contour mapping plays a crucial role in data aggregation and data transmission...
In this paper, we analyze complex gaze tracking data in a collaborative task and apply machine learning models to automatically predict skill-level differences between participants. Specifically, we present findings that address the two primary challenges for this prediction task: (1) extracting meaningful features from the gaze information, and (2) casting the prediction task as a machine learning...
Service capability, which represents the actions performed or the information delivered by a service, has become an important issue for service-oriented architecture. But most of the current semantic representation methods for service capabilities are usually based on top-down methodology and there is a gap between the semantic web services approach and the real features of web services. We aim to...
This paper proposes a novel hierarchical speaker identification method to save the speaker identification and training time, viz. First is to get a coarse decision by a fast scan all registered speakers using PCA classifier to found M possible target speakers; then is to get a final decision by the proposed Multi-Reduced Support Vector Machine (MRSVM). And the MRSVM has two reduction steps to reduce...
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