Search from the table of contents of 2.5 million books
Advanced Search (Beta)
Home > Discovery Science: 6th International Conference, DS 2003, Sapporo, Japan, October 17-19, 2003, Proceedings > Content-Based Scene Change Detection of Video Sequence Using Hierarchical Hidden Markov Model
Discovery Science: 6th International Conference, DS 2003, Sapporo, Japan, October 17-19, 2003, Proceedings |
Gunter Grieser; Yuzuru Tanaka; Akihiro Yamamoto
Springer Berlin Heidelberg
Discovery Science: 6th International Conference, DS 2003, Sapporo, Japan, October 17-19, 2003, Proceedings
Content-Based Scene Change Detection of Video Sequence Using Hierarchical Hidden Markov Model
Authors

Jong-Hyun Park; Soon-Young Park; Seong-Jun Kang; Wan-Hyun Cho

ARI Id

1664731299627_2979861

Access

Not Available Free

Pages

426-433

DOI

10.1007/978-3-540-39644-4_42

Chapter URL

https://rd.springer.com/chapter/10.1007/978-3-540-39644-4_42

Table of Contents of Book
Showing 1 to 20 of 53 entries
Chapters/HeadingsAuthor(s)PagesInfo
Front Matter
Abduction and the Dualization Problem
Thomas Eiter; Kazuhisa Makino
1-20
Signal Extraction and Knowledge Discovery Based on Statistical Modeling
Genshiro Kitagawa
21-32
Association Computation for Information Access
Akihiko Takano
33-44
Efficient Data Representations That Preserve Information
Naftali Tishby
45-45
Can Learning in the Limit Be Done Efficiently?
Thomas Zeugmann
46-46
Discovering Frequent Substructures in Large Unordered Trees
Tatsuya Asai; Hiroki Arimura; Takeaki Uno; Shin-ichi Nakano
47-61
Discovering Rich Navigation Patterns on a Web Site
Karine Chevalier; Cécile Bothorel; Vincent Corruble
62-75
Mining Frequent Itemsets with Category-Based Constraints
Tien Dung Do; Siu Cheung Hui; Alvis Fong
76-86
Modelling Soil Radon Concentration for Earthquake Prediction
Sašo Džeroski; Ljupco Todorovski; Boris Zmazek; Janja Vaupotic; Ivan Kobal
87-99
Dialectical Evidence Assembly for Discovery
Alistair Fletcher; John Davis
100-113
Performance Analysis of a Greedy Algorithm for Inferring Boolean Functions
Daiji Fukagawa; Tatsuya Akutsu
114-127
Performance Evaluation of Decision Tree Graph-Based Induction
Warodom Geamsakul; Takashi Matsuda; Tetsuya Yoshida; Hiroshi Motoda; Takashi Washio
128-140
Discovering Ecosystem Models from Time-Series Data
Dileep George; Kazumi Saito; Pat Langley; Stephen Bay; Kevin R. Arrigo
141-152
An Optimal Strategy for Extracting Probabilistic Rules by Combining Rough Sets and Genetic Algorithm
Xiaoshu Hang; Honghua Dai
153-165
Extraction of Coverings as Monotone DNF Formulas
Kouichi Hirata; Ryosuke Nagazumi; Masateru Harao
166-179
What Kinds and Amounts of Causal Knowledge Can Be Acquired from Text by Using Connective Markers as Clues?
Takashi Inui; Kentaro Inui; Yuji Matsumoto
180-193
Clustering Orders
Toshihiro Kamishima; Jun Fujiki
194-207
Business Application for Sales Transaction Data by Using Genome Analysis Technology
Naoki Katoh; Katsutoshi Yada; Yukinobu Hamuro
208-219
Improving Efficiency of Frequent Query Discovery by Eliminating Non-relevant Candidates
Jérôme Maloberti; Einoshin Suzuki
220-232
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 20 of 53 entries
Similar Books
Similar Chapters
Similar Thesis

Similar News

Similar Articles
Similar Article Headings