16 Feb
2024
16 Feb
'24
11:54 p.m.
データベース学会の皆さま
津田塾大学の中野です。
津田塾大学学芸学部情報科学科では、
助教の公募を行っています。
女性ＩＴ技術者、研究者の育成の興味のある方、奮って
ご応募ください。
https://jrecin.jst.go.jp/seek/SeekJorDetail?id=D124020460
現在、締切が２月末になっておりますが、２週間程度延長される
予定です。
若手の研究者の皆さま、ぜひ、ご検討ください。
--
中野 美由紀 (Miyuki NAKANO)
津田塾大学学芸学部情報科学科
〒187-8577 東京都小平市津田町2-1-1
Tel. 042-342-5475(直通), Fax 042-342-5161(学科代表)
miyuki(a)tsuda.ac.jp
TSUDA University
College of Liberal Arts, Dept. of Computer Science
2-1-1 Tsuda-machi, Kodaira-shi, Tokyo
187-8577 JAPAN
17 Feb
17 Feb
11:34 p.m.
New subject: CFP: Cross-data 分析・検索の国際ワークショップ ICDAR
データベース学会の皆様
名古屋大学の駒水です．
マルチメディア情報検索の国際会議 ICMR の併設ワークショップ ICDAR の案内です．
昨今多様なデータを横断した分析・検索に関する研究を実施している方がおれば，
ぜひ投稿を検討いただけると幸いです．
# Important Dates
March 15, 2024. Workshop Paper Submission.
April 15, 2024. Notification of Acceptance for Workshop Papers.
April 25, 2024. Camera-Ready Workshop Papers Due.
June 10-13, 2024. ICMR conference dates (Workshop day TBD)
# Call for Paper
We invite submissions for our workshop that focuses on the relevance
and significance of multimedia analytics and retrieval in the context
of the broader societal landscape. Over the past decade, significant
advancements have been made in multimedia analytics and retrieval,
allowing for precise and rapid extraction of data insights. This
progress has led to numerous applications that enhance various aspects
of human lives. However, the diverse perspectives embedded in
multimedia and other data types present a complex puzzle that requires
assembly to address human-centered challenges effectively.
The workshop aims to bring together individuals working with
multimedia and other data types across diverse research domains and
disciplines, such as wellbeing, disaster prevention & mitigation,
mobility, food computing, security, and smart cities. We encourage
contributions that explore the originality and novelty of proposed
topics related to the integration of diverse multimodal data.
The current era witnesses the exponential growth of sensors,
communication technologies, and social networks, enabling individuals
to collect data swiftly from themselves and their environments.
Coupled with artificial intelligence and advanced application
techniques, data has evolved into a more intelligent form, providing
valuable information and knowledge for near-human cognitive analytics
and retrieval. This intelligent data collection offers new
opportunities to better understand the intricate associations between
human beings and their surroundings.
The workshop specifically calls for submissions addressing the
analysis and retrieval of cross-data from different perspectives,
focusing on wearable and ambient sensors, lifelog cameras, social
networks, and surrounding sensors. While several investigations have
explored individual perspectives, there is a limited focus on
analyzing and retrieving cross-data to maximize the benefits for human
beings. Researchers are invited to contribute to this endeavor, aiming
to create a smart and sustainable society by efficiently utilizing
intelligent cross-data analysis and retrieval.
Possible application domains for submitted works include, but are not
limited to, well-being, disaster prevention & mitigation, mobility,
and food computing. We encourage researchers from various backgrounds
to engage in this workshop, fostering collaboration and innovation in
the field of intelligent cross-data analysis and retrieval.
Example topics of interest include but is not limited to the following
Event-based cross-data retrieval, data mining, and AI technology.
Complex event processing for linking sensors data from individuals,
regions to broad areas dynamically.
Transfer Learning and Transformers.
Hypotheses Development of the associations within the heterogeneous data.
Realization of a prosperous and independent region in which people and
nature coexist.
Applications leverage intelligent cross-data analysis for a particular domain.
Cross-datasets for Repeatable Experimentation.
Federated Analytics, Federated Learning, and Edge AI for cross-data.
Privacy-public data collaboration.
Integration of diverse multimodal data.
--
Takahiro Komamizu
Ph.D. in Engineering
Nagoya University
E-mail: taka-coma(a)acm.org
14 Mar
14 Mar
9:38 a.m.
New subject: [new Sub. due 3/29] CFP: Cross-data 分析・検索の国際ワークショップ ICDAR
データベース学会の皆様
名古屋大学の駒水です．
前回お知らせした ICMR のワークショップ ICDAR の締切が延長されました．
DEIM でも関連する論文は多くあったと思います．
ご興味のある方はぜひ投稿をご検討ください．
---
https://www2.nict.go.jp/bidal/icdar_icmr2024/index.html
5th workshop on Intelligent Cross-Data Analysis and Retrieval
Deadline extended: 29 March 2024
---
駒水
マルチメディア情報検索の国際会議 ICMR の併設ワークショップ ICDAR の案内です．
昨今多様なデータを横断した分析・検索に関する研究を実施している方がおれば，
ぜひ投稿を検討いただけると幸いです．
On Sat, Feb 17, 2024 at 11:34 PM Takahiro Komamizu <taka-coma(a)acm.org> wrote:
>
> データベース学会の皆様
>
> 名古屋大学の駒水です．
>
マルチメディア情報検索の国際会議 ICMR の併設ワークショップ ICDAR の案内です．
昨今多様なデータを横断した分析・検索に関する研究を実施している方がおれば，
ぜひ投稿を検討いただけると幸いです．
>
> # Important Dates
> March 15, 2024. Workshop Paper Submission.
> April 15, 2024. Notification of Acceptance for Workshop Papers.
> April 25, 2024. Camera-Ready Workshop Papers Due.
> June 10-13, 2024. ICMR conference dates (Workshop day TBD)
>
> # Call for Paper
> We invite submissions for our workshop that focuses on the relevance
> and significance of multimedia analytics and retrieval in the context
> of the broader societal landscape. Over the past decade, significant
> advancements have been made in multimedia analytics and retrieval,
> allowing for precise and rapid extraction of data insights. This
> progress has led to numerous applications that enhance various aspects
> of human lives. However, the diverse perspectives embedded in
> multimedia and other data types present a complex puzzle that requires
> assembly to address human-centered challenges effectively.
>
> The workshop aims to bring together individuals working with
> multimedia and other data types across diverse research domains and
> disciplines, such as wellbeing, disaster prevention & mitigation,
> mobility, food computing, security, and smart cities. We encourage
> contributions that explore the originality and novelty of proposed
> topics related to the integration of diverse multimodal data.
>
> The current era witnesses the exponential growth of sensors,
> communication technologies, and social networks, enabling individuals
> to collect data swiftly from themselves and their environments.
> Coupled with artificial intelligence and advanced application
> techniques, data has evolved into a more intelligent form, providing
> valuable information and knowledge for near-human cognitive analytics
> and retrieval. This intelligent data collection offers new
> opportunities to better understand the intricate associations between
> human beings and their surroundings.
>
> The workshop specifically calls for submissions addressing the
> analysis and retrieval of cross-data from different perspectives,
> focusing on wearable and ambient sensors, lifelog cameras, social
> networks, and surrounding sensors. While several investigations have
> explored individual perspectives, there is a limited focus on
> analyzing and retrieving cross-data to maximize the benefits for human
> beings. Researchers are invited to contribute to this endeavor, aiming
> to create a smart and sustainable society by efficiently utilizing
> intelligent cross-data analysis and retrieval.
>
> Possible application domains for submitted works include, but are not
> limited to, well-being, disaster prevention & mitigation, mobility,
> and food computing. We encourage researchers from various backgrounds
> to engage in this workshop, fostering collaboration and innovation in
> the field of intelligent cross-data analysis and retrieval.
>
> Example topics of interest include but is not limited to the following
>
> Event-based cross-data retrieval, data mining, and AI technology.
> Complex event processing for linking sensors data from individuals,
> regions to broad areas dynamically.
> Transfer Learning and Transformers.
> Hypotheses Development of the associations within the heterogeneous data.
> Realization of a prosperous and independent region in which people and
> nature coexist.
> Applications leverage intelligent cross-data analysis for a particular domain.
> Cross-datasets for Repeatable Experimentation.
> Federated Analytics, Federated Learning, and Edge AI for cross-data.
> Privacy-public data collaboration.
> Integration of diverse multimodal data.
>
> --
> Takahiro Komamizu
> Ph.D. in Engineering
> Nagoya University
> E-mail: taka-coma(a)acm.org
--
Takahiro Komamizu
Ph.D. in Engineering
Nagoya University
E-mail: taka-coma(a)acm.org
64
days inactive
91
days old
2 comments
2 participants
participants (2)
-
Nakano, Miyuki -
Takahiro Komamizu