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2,646
Concurrent discovery of task hierarchies
- In Proceedings of the AAAI Spring Symposium on Knowledge Representation and Ontology for Autonomous Systems
, 2004
"... Task hierarchies can be used to decompose an intractable problem into smaller more manageable tasks. This paper explores how task hierarchies can model a domain for control purposes, and examines an existing algorithm (HEXQ) that automatically discovers a task hierarchy through interaction with the ..."
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Cited by 2 (1 self)
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Task hierarchies can be used to decompose an intractable problem into smaller more manageable tasks. This paper explores how task hierarchies can model a domain for control purposes, and examines an existing algorithm (HEXQ) that automatically discovers a task hierarchy through interaction
Automatic Discovery and Transfer of Task Hierarchies in Reinforcement Learning
"... Sequential decision tasks present many opportunities for the study of transfer learning. A principal one among them is the existence of multiple domains that share the same underlying causal structure for actions. We describe an approach that exploits this shared causal structure to discover a hiera ..."
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hierarchical task structure in a source domain, which in turn speeds up learning of task execution knowledge in a new target domain. Our approach is theoretically justified and compares favorably to manually-designed task hierarchies in learning efficiency in the target domain. We demonstrate that causally
Towards Automatic Inference of Task Hierarchies in Complex Systems
"... As Web services increasingly weave their way into our everyday lives, their dependability has become of critical importance [16]. Software defects, however, continue to plague such services, contributing to either degraded performance ..."
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Cited by 1 (1 self)
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As Web services increasingly weave their way into our everyday lives, their dependability has become of critical importance [16]. Software defects, however, continue to plague such services, contributing to either degraded performance
Hierarchically Classifying Documents Using Very Few Words
, 1997
"... The proliferation of topic hierarchies for text documents has resulted in a need for tools that automatically classify new documents within such hierarchies. Existing classification schemes which ignore the hierarchical structure and treat the topics as separate classes are often inadequate in text ..."
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Cited by 521 (8 self)
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tree. As we show, each of these smaller problems can be solved accurately by focusing only on a very small set of features, those relevant to the task at hand. This set of relevant features varies widely throughout the hierarchy, so that, while the overall relevant feature set may be large, each
Hierarchical Models of Object Recognition in Cortex
, 1999
"... The classical model of visual processing in cortex is a hierarchy of increasingly sophisticated representations, extending in a natural way the model of simple to complex cells of Hubel and Wiesel. Somewhat surprisingly, little quantitative modeling has been done in the last 15 years to explore th ..."
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Cited by 836 (84 self)
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The classical model of visual processing in cortex is a hierarchy of increasingly sophisticated representations, extending in a natural way the model of simple to complex cells of Hubel and Wiesel. Somewhat surprisingly, little quantitative modeling has been done in the last 15 years to explore
Imagenet: A large-scale hierarchical image database
- In CVPR
, 2009
"... The explosion of image data on the Internet has the potential to foster more sophisticated and robust models and algorithms to index, retrieve, organize and interact with images and multimedia data. But exactly how such data can be harnessed and organized remains a critical problem. We introduce her ..."
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Cited by 840 (28 self)
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of annotated images organized by the semantic hierarchy of WordNet. This paper offers a detailed analysis of ImageNet in its current state: 12 subtrees with 5247 synsets and 3.2 million images in total. We show that ImageNet is much larger in scale and diversity and much more accurate than the current image
Chronos: A tool for interactive scheduling and visualisation of task hierarchies
- In 13th International Conference on Information Visualisation, IV09,pages 241–246
, 2009
"... Visualisation and structuring of tasks in a schedule, from relatively simple activities such as meeting scheduling to more complex ones such as project planning, has been tra-ditionally supported by timeline representations similar to Gantt charts. Despite their popularity, Gantt charts suf-fer from ..."
Abstract
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Cited by 2 (1 self)
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inference tasks. This paper extends that research by presenting interactive techniques which support creation, and dynamic visualisation of task hierarchies and relationships. These techniques are illustrated through a system for direct manipulation of schedules in both Gantt chart and temporal mosaic
The effects of feedback interventions on performance: A historical review, a meta-analysis, and a preliminary feedback intervention theory
- Psychological Bulletin
, 1996
"... Since the beginning of the century, feedback interventions (FIs) produced negative—but largely ignored—effects on performance. A meta-analysis (607 effect sizes; 23,663 observations) suggests that FIs improved performance on average (d =.41) but that over '/3 of the FIs decreased perfor-mance. ..."
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Cited by 463 (1 self)
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of control: task learning, task motivation, and meta-tasks (including self-related) processes. The results suggest that FI effectiveness decreases as attention moves up the hierarchy closer to the self and away from the task. These findings are further moderated by task characteristics that are still poorly
Rich feature hierarchies for accurate object detection and semantic segmentation
"... Object detection performance, as measured on the canonical PASCAL VOC dataset, has plateaued in the last few years. The best-performing methods are complex en-semble systems that typically combine multiple low-level image features with high-level context. In this paper, we propose a simple and scala ..."
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Cited by 251 (23 self)
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in order to localize and segment objects and (2) when labeled training data is scarce, supervised pre-training for an auxiliary task, followed by domain-specific fine-tuning, yields a significant performance boost. Since we combine region proposals with CNNs, we call our method R-CNN: Regions with CNN
Real-Time Object Detection for "Smart" Vehicles
- INT'L CONF. ON COMPUTER VISION, CORFU
, 1999
"... This paper presents an efficient shape-based object detection method based on Distance Transforms and describes its use for real-time vision on-board vehicles. The method uses a template hierarchy to capture the variety of object shapes; efficient hierarchies can be generated offline for given shape ..."
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Cited by 243 (11 self)
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This paper presents an efficient shape-based object detection method based on Distance Transforms and describes its use for real-time vision on-board vehicles. The method uses a template hierarchy to capture the variety of object shapes; efficient hierarchies can be generated offline for given
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2,646
