This paper addresses the automatic classification of the semantic relations expressed by the English genitives. A learning model is introduced based on the statistical analysis of the distribution of genitives’ semantic relations on a large corpus. The semantic and contextual features of the genitive’s noun phrase constituents play a key role in the identification of the semantic relation. The ...

Clustering spatial data can be interpreted as a segmentation or classification process for finding meaningful patterns in geospatial databases. Such patterns can be used to adapt further algorithms to the individual characteristics of the detected classes or clusters. For example, cartographic generalisation works differently in urban and in rural areas. If this kind of information is not expli...

The longstanding problem of automatic table interpretation still illudes us. Its solution would not only be an aid to table processing applications such as large volume table conversion, but would also be an aid in solving related problems such as information extraction, semantic annotation, and semi-structured data management. In this paper, we offer a solution for the common special case in w...

This paper presents a new scenario recognition algorithm for Video Interpretation. We represent a scenario model by specifying the characters involved in the scenario, the sub-scenarios composing the scenario and the constraints combining the sub-scenarios. Various types of constraints can be used including spatio-temporal and logical constraints. In this paper, we focus on the performance of t...

This paper proposes an automatic eye-wink interpretation system for human-machine interface to benefit the severely handicapped people. Our system consists of (1) applying the support vector machine (SVM) to detect the eyes, (2) using the template matching algorithm to track the eyes, (3) using SVM classifier to verify the open or closed eyes and convert the eye winks into a sequence of codes (...

The paper introduces a method for interpreting novel noun compounds with semantic relations. The method is built around word similarity with pretagged noun compounds, based on WordNet::Similarity. Over 1,088 training instances and 1,081 test instances from the Wall Street Journal in the Penn Treebank, the proposed method was able to correctly classify 53.3% of the test noun compounds. We also i...

April 19921996 From April 1992 to December 1996, Ph.D. Student at the Technical University of Munich, Germany. Advisor: Prof. Bernd Radig. Doctoral Thesis: "Automatic Generation of Geometrical Models for Objects in 2D". March 1992 Presentation of the qualifying exams towards the Ph.D. degree in Computer Science at the Technical University of Munich Germany. Informatics Institute: March-April 19...

Conventional image matching techniques for DTM determination are unable overcome the disparity discontinuities in the stereo model caused by man-made structures and only supply a Digital Surface Model (DSM). In order to produce a DTM of the bare earth, the characteristics of the terrain cover, such as buildings and trees must to be determined to reduce the elevations derived from image matching...

The main object of this study is to offer a clue for semantic interpretation of nouns to facilitate automatic text processes. Unlike thematic roles lexically registered on verbs, the criterions needed to interpret nouns are not definable by distinctive features. Since nouns in same form can bear both generic and existential meaning, its interpretation rather depends upon logical reasoning. This...

Face images are difficult to interpret because they are highly variable. Sources of variability include individual appearance, 3D pose, facial expression , and lighting. We describe a compact parametrized model of facial appearance which takes into account all these sources of variability. The model represents both shape and gray-level appearance , and is created by performing a statistical ana...