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Showing 1 to 6 of 6 for “"Semantics-aware"”.

  1. SemCache: Semantics-Aware Caching for Efficient GPU Offloading

    … ^ In this thesis, we introduce SemCache, a semantics-aware GPU cache that automatically manages CPU-GPU communication in addition to optimizing communication by eliminating redundant transfers using caching. It uses library semantics to determine the appropriate caching granularity for a …

    purdue-thes Repository record for SemCache: Semantics-Aware Caching for Efficient GPU Offloading (opens in a new tab)

  2. Semantics-aware content delivery framework for 3D Tele-immersion

    This Dissertation was approved for publication on 2016-04-12 at 11:23.

    uiuc Repository record for Semantics-aware content delivery framework for 3D Tele-immersion (opens in a new tab)

  3. Efficient Delivery of Web Services

    … towards achieving the envisioned Semantic Web. Semantics-aware processing of information requires intensive use of Web services. In our research, we propose a new query model where queries are resolved by combining Web service invocations. To efficiently deploy such scheme, we propose an …

    vt Repository record for Efficient Delivery of Web Services (opens in a new tab)

  4. Descriptive Phrases: Understanding Natural Language Metadata

    … with syntactic-based approaches and now semantics is about to be included in the processing loop. Metadata gives a leverage over the data. Often a natural language, being the easiest way of expression, is used in metadata. We call such metadata ``natural language metadata''. The examples …

    trento Repository record for Descriptive Phrases: Understanding Natural Language Metadata (opens in a new tab)

  5. Log-Driven Robust Anomaly Detection and Root Cause Localisation for Distributed Computing Systems

    … session formation, sequence modelling, and semantics aware representation can be combined to deliver accurate detection and actionable localisation on real operational logs. The integrated and systematic designs favour reproducibility, modest computational cost, and explanations that map …

    exeter

  6. Robust Deep Learning Methodologies for Weakly Supervised Remote Sensing Image Classification

    … intrinsic semantic hierarchies, we introduce the Semantics-Aware Hierarchical Consensus (SAHC) approach. This hierarchical self-supervised approach explicitly utilizes the structure of land cover classes to improve feature representation and classification consistency across different class …

    trento Repository record for Robust Deep Learning Methodologies for Weakly Supervised Remote Sensing Image Classification (opens in a new tab)