Track 2 in KDD Cup 2013 aims at determining duplicated authors in a data set from Microsoft Academic Search. This type of problems appears in many large-scale applications that compile information from different sources. This paper describes our solution developed at National Taiwan University to win the first prize of the competition. We propose an effective name matching framework and realize two implementations. An important strategy in our approach is to consider Chinese and non-Chinese names separately because of their different naming conventions. Post-processing including merging results of two predictions further boosts the performance. Our approach achieves F1-score 0.99202 on the private leader board, while 0.99195 on the public leader board.

The track 1 problem in KDD Cup 2013 is to discriminate between papers confirmed by the given authors from the other deleted papers. This paper describes the winning solution of team National Taiwan University for track 1 of KDD Cup 2013. First, we conduct the feature engineering to transform the various provided text information into 97 features. Second, we train classification and ranking models using these features. Last, we combine our individual models to boost the performance by using results on the internal validation set and the official Valid set. Some effective post-processing techniques have also been proposed. Our solution achieves 0.98259 MAP score and ranks the first place on the private leaderboard of Test set.

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This paper presents an error-resilient MPEG-4 video communication system. The system comprises an error-resilient encoder, an adaptive error-resilient transcoder, an error-resilient decoder and the PLBP encoderidecoder. It has been evaluated under a configurable network error simulator. In addition, the system integrates the error resilience tools defined in MPEG-4 visual standard, namely Video Packet Structure, Header Extension Code (HEC) and NEWPRED, as well as three proposed novel error-resilient techniques, namely Prioritized-Level Bitstream Protection (PLBP), Protected Data Partitioning (PDP) and Restorative Intra Adoption (RIA). In the decoder, three error concealment techniques are implemented. They are temporal replacement, motion replacement, and predictive motion replacement. The decoder also implements an error detection mechanism that has high sensitivity to catch errors.Finally, the performance of the hybrid error-resilient system has been evaluated. The experimental results show that under the error-prone networks, acceptable video quality has been successfully retained without incurring much overhead.

We present an efficient MPEG-4-based interactive player for PDA-like embedded devices in this paper. Our system can receive media from various sources, then decompress and compose them in an object-oriented manner. Embedded devices such as PDA usually have limited computational resources, memory size. power budgets. and multimedia capabilities. To overcome these constraints, two novel mechanisms were introduced, namely adaptive frame rule (AFR) and scene cache graph management (SCCMJ. Furthermore, a media decoding framework was proposed such that multimedia objects of different formats can be retrieved from different sources and then be decoded. This framework can be extended by add-on components. A semi-pull model was also designed for the synchronization of heterogeneous media objects. Finally, all the key modules were efficiently implemented and optimized. These modules include MPEG-4 video decoder, 2D/3D graphic engine. buffer management, script engine, and streaming service.