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CVPR
2008
IEEE
16 years 4 days ago
A hierarchical and contextual model for aerial image understanding
In this paper we present a novel method for parsing aerial images with a hierarchical and contextual model learned in a statistical framework. We learn hierarchies at the scene an...
Jake Porway, Kristy Wang, Benjamin Yao, Song Chun ...
CHI
2005
ACM
15 years 10 months ago
Roomquake: embedding dynamic phenomena within the physical space of an elementary school classroom
Authentic practice in science requires access to phenomena. In this paper, we introduce RoomQuake, an application designed to foster the growth of a community of learning around s...
Tom Moher, Syeda Hussain, Tim Halter, Debi Kilb
ATAL
2009
Springer
15 years 4 months ago
A self-organizing neural network architecture for intentional planning agents
This paper presents a model of neural network embodiment of intentions and planning mechanisms for autonomous agents. The model bridges the dichotomy of symbolic and non-symbolic ...
Budhitama Subagdja, Ah-Hwee Tan
CIBCB
2008
IEEE
15 years 4 months ago
Temporal and structural analysis of biological networks in combination with microarray data
— We introduce a graph-based relational learning approach using graph-rewriting rules for temporal and structural analysis of biological networks changing over time. The analysis...
Chang Hun You, Lawrence B. Holder, Diane J. Cook
CSEE
2007
Springer
15 years 4 months ago
Creating Meaningful Assessments for Professional Development Education in Software Architecture
Extensive instructional materials have been developed and used for courses in specific software architecture topics offered at the Software Engineering Institute (SEI) at Carnegie...
Elspeth Golden, Len Bass