14659694
Hybrid term indexing for different IR models
Retrieval effectiveness depends on how terms are extracted and indexed. For Chinese text (and others like Japanese and Korean), there are no space to delimit words. Indexing using hybrid terms (i.e. words and bigrams) were able to achieve the best precision amongst homogenous terms at a lower storage cost than indexing with bigrams. However, this was tested with conjunctive queries. Here, we extended the weighted Boolean models using fuzzy and p-norm measures, as well as the vector space model using the cosine measure, for processing hybrid terms. Our evaluation shows that all IR models using hybrid terms achieve better average precision over those using words. Across different recall values, the weighted Boolean model using fuzzy measures with hybrid terms achieve consistently about 8% higher than those using words. The vector space model using the cosine measures with hybrid terms achieved the best improvement in the average recall and precision.
45209699
A Workflow Model for Chinese Business Processes
This paper proposes a new workflow model (MAWM) targeted at Chinese business processing. The cultural dependent characteristics of Chinese business processes are identified and taken into account in the MAWM model. MAWM adopts a decentralized modeling style based on the conventional business perspective on labor division and cooperation. This idea is reflected in the concept of agent-workflow. Activity-based and communication-based modeling methods are integrated in the process model. They are used to model different types of business activities. In addition, the model is formalized using Process Algebra and a simplified algorithm is proposed for safety verification of workflow processes.
16840924
Improving Transliteration with Precise Alignment of Phoneme Chunks and Using Contextual Features
Automatic transliteration of foreign names is basically regarded as a diminutive clone of the machine translation (MT) problem. It thus follows IBM's conventional MT models under the source-channel framework. Nonetheless, some parameters of this model dealing with zero-fertility words in the target sequences, can negatively impact transliteration effectiveness because of the inevitable inverted conditional probability estimation. Instead of source-channel, this paper presents a direct probabilistic transliteration model using contextual features of phonemes with a tailored alignment scheme for phoneme chunks. Experiments demonstrate superior performance over the source-channel for the task of English-Chinese transliteration.
12876616
A Design of Temporal Event Extraction from Chinese Financial News
This paper presents an information system for Chinese Information Extraction from Financial news (CHIEF). The ultimate target of the system is to extract information concerning the occurrence time and places of the financial activities in the different companies from a local Hong Kong newspaper, namely (Tao Kung Pao). To facilitate event extraction purpose, two groups of templates were defined, i.e. the company related and company restructuring templates. They are used to select the desired information for each type of financial activities, such as (bankruptcy) or (merge). Each specific event is then represented using a frame-based knowledge structure. Two types of slots are embedded in each frame: they are the activity- and time-related slots. Based on these slots, multiple activities are interconnected according to their entity relations, temporal relations or the deduced relations. Effectively, CHIEF is a question-answering system designed for handling the company related queries, event based queries, temporal queries and complex queries in a finance domain.
690242
Improving Quality of Email Categorization with Tournament Methods
The tournament text classification methods are proposed in this article to perform the task of email categorization, in which the essence is to break down the multi-class categorization process into a set of binary classification tasks. We implement the methods of elimination and Round Robin tournament to classify emails within 15 folders. Substantial experiments are conducted to compare the effectiveness and robustness of the tournament methods against the n-way classification method and the voting method. The experimental results show that the tournament methods outperform the n-way method by 11.7% and the voting method by 4.1% regarding precision, and the Round Robin performs slightly better than the Elimination tournament on average.
37472111
Extending the superimposed codeword indexing scheme to handle incomplete information
In order to use Prolog as a basis for database applications, techniques are required for rapid retrieval of clauses from large data sets. Various researchers have contributed to the development of indexing strategies for this purpose. One such strategy is known as superimposed codeword+mask bits (SCW+MB). One extension of Prolog which is useful in the development of deductive databases is the ability to handle incomplete information. A form of incomplete information based on sets has been introduced and used in a deductive database system. In order to provide efficient access to clauses containing incomplete information, existing strategies need to be adapted accordingly. This paper presents an extension to the SCW+MB algorithm to cover incomplete information, and describes how this can be realized in hardware.
2993896
An Efficient Iterative Pose Estimation Algorithm
We propose a novel model-based algorithm which finds the 3D pose of an object from an image by breaking down the estimation process into two linear processing stages, namely the depth recovery and the pose calculation. The depth recovery stage determines the new positions of the model point set in 3D space whereas the pose calculation step is a least-square estimation of the transformation parameters between the point set formed from the previous stage and the model set. The estimates are iteratively refined until converged. The advantage of using our algorithm is that the computational cost is much reduced. We test our algorithm by applying it to both synthetic as well as real time head tracking problem with satisfactory results.
11469103
Panoramic video segmentation using color mixture models
Consider a color camera mounted at a fixed point and a target object to be tracked. We propose a method to replace the common "blue screen" technique in performing segmentation of the object. The target object image in the video sequence is separated from the background through a segmentation process employing the color mixture model techniques. The background information is recovered through a similarity search with the panorama of the original background . The foreground segment can then be encoded by traditional compression while the scene background is represented as a panorama. Finally, the foreground object combines with the corresponding panoramic segment or any desired image on-the-fly to reconstruct the video frame. Our system can be used in low bandwidth applications as well as special demonstration in which the demonstrator can appear/disappear at any time he/she wishes.
18962931
Analyzing xfig using the Rigi tool suite
An experiment is conducted on how well expert users of program comprehension tools are able to perform specific program understanding and maintenance tasks on the xfig drawing program using these tools. The paper reports on the experiences of the users of the Rigi reverse engineering tool suite. Rigi is an interactive, visual tool designed to help developers better understand and redocument their software. Rigi includes parsers to read the source code of the subject software and produce a graph of extracted artifacts such as procedures, variables, calls, and data accesses. To manage the complexity of the graph, an editor allows the software engineer to automatically or manually collapse related artifacts into subsystems. These subsystems typically represent concepts such as abstract data types or personnel assignments. The created hierarchy can be navigated, analyzed, and presented using various automatic or user-guided graphical layouts.
12653936
On Using Longuet-Higgins Equation in Pose Estimation Framework by Lowe
12585646
Creating virtual walkthrough environment from vertical panoramic mosaic
In this paper, a novel algorithm for creating virtual indoor environments is described. First, a panoramic mosaic is generated from a series of photos taken with a camera rotates along a horizontal axis. Then, from the panoramic mosaic image, a nonfixed viewing point virtual walkthrough system can be created by defining manually the corners in the vertical panoramic mosaic. The side ratio of the virtual walkthrough system can be obtained from the panning angle subsequently. By applying the cylindrical projection technique, the texture for the sides of the virtual walkthrough environment can be projected in a more realistic way. Real images have been used to verify our proposed algorithm with satisfactory results.