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Learning to rank, which learns the ranking function from training data, has become an emerging research area in information retrieval and machine learning. Most existing work on learning to rank assumes that the training data is clean, which is...
This article presents a simple yet effective face recognition method, called local structure-based sparse representation classification (LS_SRC). Motivated by the “divide-and-conquer” strategy, we first divide the face into local...
Proper timing of the purchase of airline tickets is difficult even when historical ticket prices and some domain knowledge are available. To address this problem, we introduce an algorithm that optimizes purchase timing on behalf of customers and...
Nonnegative Multiresolution Representation-Based Texture Image Classification
Yongsheng Dong, Dacheng Tao, Xuelong Li
Article No.: 4
Effective representation of image texture is important for an image-classification task. Statistical modelling in wavelet domains has been widely used to image texture representation. However, due to the intraclass complexity and interclass...
Multi-Keyword Multi-Click Advertisement Option Contracts for Sponsored Search
Bowei Chen, Jun Wang, Ingemar J. Cox, Mohan S. Kankanhalli
Article No.: 5
In sponsored search, advertisement (abbreviated ad) slots are usually sold by a search engine to an advertiser through an auction mechanism in which advertisers bid on keywords. In theory, auction mechanisms have many desirable economic...
Analysis of the Impact of a Tag Recommendation System in a Real-World Folksonomy
Frederic Font, Joan Serrà, Xavier Serra
Article No.: 6
Collaborative tagging systems have emerged as a successful solution for annotating contributed resources to online sharing platforms, facilitating searching, browsing, and organizing their contents. To aid users in the annotation process, several...
A Hybrid Background Subtraction Method with Background and Foreground Candidates Detection
Fan-Chieh Cheng, Bo-Hao Chen, Shih-Chia Huang
Article No.: 7
Background subtraction for motion detection is often used in video surveillance systems. However, difficulties in bootstrapping restrict its development. This article proposes a novel hybrid background subtraction technique to solve this problem....
In this article, we tackle the problem of predicting the “next” geographical position of a tourist, given her history (i.e., the prediction is done accordingly to the tourist’s current trail) by means of supervised learning...
Where2Stand: A Human Position Recommendation System for Souvenir Photography
Yinting Wang, Mingli Song, Dacheng Tao, Yong Rui, Jiajun Bu, Ah Chung Tsoi, Shaojie Zhuo, Ping Tan
Article No.: 9
People often take photographs at tourist sites and these pictures usually have two main elements: a person in the foreground and scenery in the background. This type of “souvenir photo” is one of the most common photos clicked by...
This article presents novel methods for representing and analyzing a special class of multiagent bargaining settings that feature multiple players, large action spaces, and a relationship among players’ goals, tasks, and resources. We show...
Spatiotemporal Sequential Influence Modeling for Location Recommendations: A Gravity-based Approach
Jia-Dong Zhang, Chi-Yin Chow
Article No.: 11
Recommending to users personalized locations is an important feature of Location-Based Social Networks (LBSNs), which benefits users who wish to explore new places and businesses to discover potential customers. In LBSNs, social and...
On-Device Mobile Landmark Recognition Using Binarized Descriptor with Multifeature Fusion
Tao Guan, Yuesong Wang, Liya Duan, Rongrong Ji
Article No.: 12
Along with the exponential growth of high-performance mobile devices, on-device Mobile Landmark Recognition (MLR) has recently attracted increasing research attention. However, the latency and accuracy of automatic recognition remain as...