56 citations · 105 across the 16 of their papers we have counts for
16 papers
Anomaly Detection on IT Operation Series via Online Matrix Profile
Shi-Ying Lan, Run-Qing Chen, Wan-Lei Zhao
Anomaly detection on time series is a fundamental task in monitoring the Key Performance Indicators (KPIs) of IT systems. Many of the existing approaches in the literature show goo…
Towards Accurate Localization by Instance Search
Yi-Geng Hong, Hui-Chu Xiao, Wan-Lei Zhao
Visual object localization is the key step in a series of object detection tasks. In the literature, high localization accuracy is achieved with the mainstream strongly supervised…
Large-Scale Approximate k-NN Graph Construction on GPU
Hui Wang, Wan-Lei Zhao, Xiangxiang Zeng
k-nearest neighbor graph is a key data structure in many disciplines such as manifold learning, machine learning and information retrieval, etc. NN-Descent was proposed as an effec…
k-sums: another side of k-means
Wan-Lei Zhao, Run-Qing Chen, Hui Ye +1
In this paper, the decades-old clustering method k-means is revisited. The original distortion minimization model of k-means is addressed by a pure stochastic minimization procedur…
Dynamic Sampling for Deep Metric Learning
Chang-Hui Liang, Wan-Lei Zhao, Run-Qing Chen
Deep metric learning maps visually similar images onto nearby locations and visually dissimilar images apart from each other in an embedding manifold. The learning process is mainl…
Deeply Activated Salient Region for Instance Search
Hui-Chu Xiao, Wan-Lei Zhao, Jie Lin +1
The performance of instance search depends heavily on the ability to locate and describe a wide variety of object instances in a video/image collection. Due to the lack of proper m…
A Joint Model for IT Operation Series Prediction and Anomaly Detection
Run-Qing Chen, Guang-Hui Shi, Wan-Lei Zhao +1
Status prediction and anomaly detection are two fundamental tasks in automatic IT systems monitoring. In this paper, a joint model Predictor & Anomaly Detector (PAD) is proposed to…
On the Merge of k-NN Graph
Wan-Lei Zhao, Hui Wang, Peng-Cheng Lin +1
k-nearest neighbor graph is a fundamental data structure in many disciplines such as information retrieval, data-mining, pattern recognition, and machine learning, etc. In the lite…
Graph based Nearest Neighbor Search: Promises and Failures
Peng-Cheng Lin, Wan-Lei Zhao
Recently, graph based nearest neighbor search gets more and more popular on large-scale retrieval tasks. The attractiveness of this type of approaches lies in its superior performa…
Instance Search via Instance Level Segmentation and Feature Representation
Yu Zhan, Wan-Lei Zhao
Instance search is an interesting task as well as a challenging issue due to the lack of effective feature representation. In this paper, an instance level feature representation b…
Clustering via Boundary Erosion
Cheng-Hao Deng, Wan-Lei Zhao
Clustering analysis identifies samples as groups based on either their mutual closeness or homogeneity. In order to detect clusters in arbitrary shapes, a novel and generic solutio…
Approximate k-NN Graph Construction: a Generic Online Approach
Wan-Lei Zhao, Hui Wang, Chong-Wah Ngo
Nearest neighbor search and k-nearest neighbor graph construction are two fundamental issues arise from many disciplines such as multimedia information retrieval, data-mining and m…
Fast k-means based on KNN Graph
Cheng-Hao Deng, Wan-Lei Zhao
In the era of big data, k-means clustering has been widely adopted as a basic processing tool in various contexts. However, its computational cost could be prohibitively high as th…
Object Discovery via Cohesion Measurement
Guanjun Guo, Hanzi Wang, Wan-Lei Zhao +2
Color and intensity are two important components in an image. Usually, groups of image pixels, which are similar in color or intensity, are an informative representation for an obj…
Scalable Nearest Neighbor Search based on kNN Graph
Wan-Lei Zhao, Jie Yang, Cheng-Hao Deng
Nearest neighbor search is known as a challenging issue that has been studied for several decades. Recently, this issue becomes more and more imminent in viewing that the big data…
Boost K-Means
Wan-Lei Zhao, Cheng-Hao Deng, Chong-Wah Ngo
Due to its simplicity and versatility, k-means remains popular since it was proposed three decades ago. The performance of k-means has been enhanced from different perspectives ove…