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Shape-Based Single Object Classification Using Ensemble Method Classifiers

Nowadays, more and more images are available. Annotation and retrieval of the images pose classification problems, where each class is defined as the...

aaronmarkham
2025-01-21
Computer Science
nova

Shape-Based Single Object Classification Using Ensemble Method Classifiers

Nowadays, more and more images are available. Annotation and retrieval of the images pose classification problems, where each class is defined as the...

test1
2025-01-21
Computer Science
nova

Large Language Models, Knowledge Graphs and Search Engines: A Crossroads for Answering Users' Questions

Much has been discussed about how Large Language Models, Knowledge Graphs and Search Engines can be combined in a synergistic manner. A dimension lar...

test1
2025-01-21
Computer Science
nova

Leveraging Large Language Models as Knowledge-Driven Agents for Reliable Retrosynthesis Planning

Identifying reliable synthesis pathways in materials chemistry is a complex task, particularly in polymer science, due to the intricate and often no...

test1
2025-01-21
Computer Science
nova

FaceXBench: Evaluating Multimodal LLMs on Face Understanding

Multimodal Large Language Models (MLLMs) demonstrate impressive problem-solving abilities across a wide range of tasks and domains. However, their c...

test1
2025-01-21
Computer Science
nova

Resource-Efficient Compilation of Distributed Quantum Circuits for Solving Large-Scale Wireless Communication Network Problems

Optimizing routing in Wireless Sensor Networks (WSNs) is pivotal for minimizing energy consumption and extending network lifetime. This paper introd...

test1
2025-01-21
Other
nova

SOP-Agent: Empower General Purpose AI Agent with Domain-Specific SOPs

Despite significant advancements in general-purpose AI agents, several challenges still hinder their practical application in real-world scenarios. ...

test1
2025-01-20
Computer Science
nova

SEAL: Entangled White-box Watermarks on Low-Rank Adaptation

Recently, LoRA and its variants have become the de facto strategy for training and sharing task-specific versions of large pretrained models, thanks ...

test1
2025-01-20
Computer Science
nova

SEAL: Entangled White-box Watermarks on Low-Rank Adaptation

Recently, LoRA and its variants have become the de facto strategy for training and sharing task-specific versions of large pretrained models, thanks ...

test1
2025-01-20
Computer Science
shimmer