Search For:

Displaying 1-23 out of 23 total
WristSense: Wrist-worn sensor device with camera for daily activity recognition
Found in: Pervasive Computing and Communications Workshops, IEEE International Conference on
By Takuya Maekawa,Yasue Kishino,Yutaka Yanagisawa,Yasushi Sakurai
Issue Date:March 2012
pp. 510-512
This demo paper describes our daily activity sensing and recognition system with a wrist-worn sensor device called WristSense. The wrist-worn device is equipped with an accelerometer and camera, and can send the sensor data to a Bluetooth-enabled smart pho...
 
Discovery of cross-similarity in data streams
Found in: Data Engineering, International Conference on
By Machiko Toyoda, Yasushi Sakurai
Issue Date:March 2010
pp. 101-104
In this paper, we focus on the problem of finding partial similarity between data streams. Our solution relies on dynamic time warping (DTW) as a similarity measure, which computes the distance between sequences whose lengths and/or sampling rates are diff...
 
Scalable Algorithms for Distribution Search
Found in: Data Mining, IEEE International Conference on
By Yasuko Matsubara, Yasushi Sakurai, Masatoshi Yoshikawa
Issue Date:December 2009
pp. 347-356
Distribution data naturally arise in countless domains, such as meteorology, biology, geology, industry and economics. However, relatively little attention has been paid to data mining for large distribution sets. Given n distributions of multiple categori...
 
Labeling-based knowledge construction for real-world event understanding
Found in: Cognitive Informatics, IEEE International Conference on
By Koji Kamei,Yutaka Yanagisawa,Takuya Maekawa,Yasue Kishino,Yasushi Sakurai,Takeshi Okadome
Issue Date:June 2009
pp. 116-124
A sensor networked environment is capable of observing real-world phenomena as sensor readings, however, there are difficulties in understanding real-world ‘events’ such as activities of daily life occurring in the environment. We propose an incremental mo...
 
A Parallelized Data Stream Processing System Using Dynamic Time Warping Distance
Found in: Complex, Intelligent and Software Intensive Systems, International Conference
By Norihiro Takahashi, Tomoki Yoshihisa, Yasushi Sakurai, Masanori Kanazawa
Issue Date:March 2009
pp. 1100-1105
Due to the recent development of sensing technologies, sensor stream processing systems have been getting great attention. Sensor stream processing systems enable us to recognize the state of objects. For example, attach an acceleration sensor to a man and...
 
Object-Blog System for Environment-Generated Content
Found in: IEEE Pervasive Computing
By Takuya Maekawa, Yutaka Yanagisawa, Yasue Kishino, Koji Kamei, Yasushi Sakurai, Takeshi Okadome
Issue Date:October 2008
pp. 20-27
The Object-Blog service application automatically converts raw sensor data to environment-generated content (EGC), including texts, graphs, and figures. This conversion facilitates data searching and browsing. Generated content can serve several purposes, ...
 
Stream Monitoring under the Time Warping Distance
Found in: Data Engineering, International Conference on
By Yasushi Sakurai, Christos Faloutsos, Masashi Yamamuro
Issue Date:April 2007
pp. 1046-1055
The goal of this paper is to monitor numerical streams, and to find subsequences that are similar to a given query sequence, under the DTW (Dynamic Time Warping) distance. Applications include word spotting, sensor pattern matching, and monitoring of bio-m...
 
SVD-based hierarchical data gathering for environmental monitoring
Found in: Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication (UbiComp '13 Adjunct)
By Futoshi Naya, Takayuki Suyama, Yasue Kishino, Yasushi Sakurai, Yutaka Yanagisawa
Issue Date:September 2013
pp. 9-12
We introduce a new data compression method for efficient data gathering in hierarchical sensor networks. Our proposed method compresses sensor data sequences by decomposing them into local patterns and weight variables using Singular Value Decomposition (S...
     
Fast mining and forecasting of complex time-stamped events
Found in: Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining (KDD '12)
By Christos Faloutsos, Masatoshi Yoshikawa, Tomoharu Iwata, Yasuko Matsubara, Yasushi Sakurai
Issue Date:August 2012
pp. 271-279
Given huge collections of time-evolving events such as web-click logs, which consist of multiple attributes (e.g., URL, userID, times- tamp), how do we find patterns and trends? How do we go about capturing daily patterns and forecasting future events? We ...
     
Rise and fall patterns of information diffusion: model and implications
Found in: Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining (KDD '12)
By B. Aditya Prakash, Christos Faloutsos, Lei Li, Yasuko Matsubara, Yasushi Sakurai
Issue Date:August 2012
pp. 6-14
The recent explosion in the adoption of search engines and new media such as blogs and Twitter have facilitated faster propagation of news and rumors. How quickly does a piece of news spread over these media? How does its popularity diminish over time? Doe...
     
Sequential Modeling of Topic Dynamics with Multiple Timescales
Found in: ACM Transactions on Knowledge Discovery from Data (TKDD)
By Takeshi Yamada, Naonori Ueda, Tomoharu Iwata, Yasushi Sakurai
Issue Date:February 2012
pp. 1-27
We propose an online topic model for sequentially analyzing the time evolution of topics in document collections. Topics naturally evolve with multiple timescales. For example, some words may be used consistently over one hundred years, while other words e...
     
Context-aware web search in ubiquitous sensor environments
Found in: ACM Transactions on Internet Technology (TOIT)
By Koji Kamei, Takuya Maekawa, Yasue Kishino, Yasushi Sakurai, Yutaka Yanagisawa, Takeshi Okadome
Issue Date:January 2012
pp. 1-23
This article proposes a new concept for a context-aware Web search method that automatically retrieves a webpage related to the daily activity that a user currently is engaged in and displays the page on nearby Internet-connected home appliances such as te...
     
Fast Discovery of Group Lag Correlations in Streams
Found in: ACM Transactions on Knowledge Discovery from Data (TKDD)
By Christos Faloutsos, Spiros Papadimitriou, Yasushi Sakurai
Issue Date:December 2010
pp. 1-43
The study of data streams has received considerable attention in various communities (theory, databases, data mining, networking), due to several important applications, such as network analysis, sensor monitoring, financial data analysis, and moving objec...
     
Online multiscale dynamic topic models
Found in: Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining (KDD '10)
By Naonori Ueda, Takeshi Yamada, Tomoharu Iwata, Yasushi Sakurai
Issue Date:July 2010
pp. 663-672
We propose an online topic model for sequentially analyzing the time evolution of topics in document collections. Topics naturally evolve with multiple timescales. For example, some words may be used consistently over one hundred years, while other words e...
     
Fast likelihood search for hidden Markov models
Found in: ACM Transactions on Knowledge Discovery from Data (TKDD)
By Masaru Kitsuregawa, Yasuhiro Fujiwara, Yasushi Sakurai
Issue Date:November 2009
pp. 1-37
Hidden Markov models (HMMs) are receiving considerable attention in various communities and many applications that use HMMs have emerged such as mental task classification, biological analysis, traffic monitoring, and anomaly detection. This article has tw...
     
Web searching for daily living
Found in: Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval (SIGIR '09)
By Koji Kamei, Takeshi Okadome, Takuya Maekawa, Yasue Kishino, Yasushi Sakurai, Yutaka Yanagisawa
Issue Date:July 2009
pp. 435-435
The new concept proposed in this paper is a query free web search that automatically retrieves a web page including information related to the daily activity that we are currently engaged in for automatically displaying the page on Internet-connected domes...
     
Fast mining of complex time-stamped events
Found in: Proceeding of the 17th ACM conference on Information and knowledge mining (CIKM '08)
By Christos Faloutsos, Hanghang Tong, Tina Eliassi-Rad, Yasushi Sakurai
Issue Date:October 2008
pp. 1001-1001
Given a collection of complex, time-stamped events, how do we find patterns and anomalies? Events could be meetings with one or more persons and one or more agenda items at zero or more locations (e.g., teleconferences), or they could be publications with ...
     
SPIRAL: efficient and exact model identification for hidden Markov models
Found in: Proceeding of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining (KDD '08)
By Masashi Yamamuro, Yasuhiro Fujiwara, Yasushi Sakurai
Issue Date:August 2008
pp. 5-6
Hidden Markov models (HMMs) have received considerable attention in various communities (e.g, speech recognition, neurology and bioinformatic) since many applications that use HMM have emerged. The goal of this work is to identify efficiently and correctly...
     
Web page retrieval in ubiquitous sensor environments
Found in: Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval (SIGIR '08)
By Koji Kamei, Takeshi Okadome, Takuya Maekawa, Yasue Kishino, Yasushi Sakurai, Yutaka Yanagisawa
Issue Date:July 2008
pp. 2-2
This paper proposes new concept of query free web search for daily living. We ordinarily benefit from additional information about our daily activities that we are currently engaged in. When washing a coffee maker, for example, we receive the benefit if we...
     
BRAID: stream mining through group lag correlations
Found in: Proceedings of the 2005 ACM SIGMOD international conference on Management of data (SIGMOD '05)
By Christos Faloutsos, Spiros Papadimitriou, Yasushi Sakurai
Issue Date:June 2005
pp. 599-610
The goal is to monitor multiple numerical streams, and determine which pairs are correlated with lags, as well as the value of each such lag. Lag correlations (and anti-correlations) are frequent, and very interesting in practice: For example, a decrease i...
     
FTW: fast similarity search under the time warping distance
Found in: Proceedings of the twenty-fourth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems (PODS '05)
By Christos Faloutsos, Masatoshi Yoshikawa, Yasushi Sakurai
Issue Date:June 2005
pp. 326-337
Time-series data naturally arise in countless domains, such as meteorology, astrophysics, geology, multimedia, and economics. Similarity search is very popular, and DTW (Dynamic Time Warping) is one of the two prevailing distance measures. Although DTW inc...
     
SoundCompass: a practical query-by-humming system; normalization of scalable and shiftable time-series data and effective subsequence generation
Found in: Proceedings of the 2004 ACM SIGMOD international conference on Management of data (SIGMOD '04)
By Masashi Morimoto, Naoko Kosugi, Yasushi Sakurai
Issue Date:June 2004
pp. 881-886
This paper describes our practical query-by-humming system, SoundCompass, which is being used as a karaoke song selection system in Japan. First, we describe the fundamental techniques employed by SoundCompass such as normalization in a time-wise sense of ...
     
The subspace coding method: a new indexing scheme for high-dimensional data
Found in: Proceedings of the ninth international conference on Information and knowledge management (CIKM '00)
By Haruhiko Kojima, Masatoshi Yoshikawa, Shunsuke Uemura, Yasushi Sakurai
Issue Date:November 2000
pp. 210-218
Centralized search process requires that the whole collection reside at a single site. This imposes a burden on both the system storage of the site and the network traffic near the site. It thus comes to require the search process to be distributed. Recent...
     
 1