Bedding - Moozonian

Titan-Apex v9.4 is analyzing data for 'Bedding'...

http://arxiv.org/abs/1809.09739v1

Learning Consumer and Producer Embeddings for User-Generated Cont...

User-Generated Content (UGC) is at the core of web applications where users can both produce and consume content. This differs from traditional e-Commerce domains where content producers and consumers...

https://github.com/SamJoeSilvano/Insurance-Agentic-AI

SamJoeSilvano/Insurance-Agentic-AI

Insurance AI Assistant A smart system combining PostgreSQL, Milvus, and specialized AI agents (Life/Home/Auto) to answer insurance queries accurately. Features real-time sync, semantic search via Open...

http://arxiv.org/abs/1707.05929v2

Learning Unified Embedding for Apparel Recognition

In apparel recognition, specialized models (e.g. models trained for a particular vertical like dresses) can significantly outperform general models (i.e. models that cover a wide range of verticals). ...

http://arxiv.org/abs/2209.06404v1

On Layer-Rainbow Latin Cubes Containing Layer-Rainbow Latin Cubes

Despite the fact that latin cubes have been studied since in the 1940's, there are only a few results on embedding partial latin cubes, and all these results are far from being optimal with respect to...

http://arxiv.org/abs/2512.09471v1

Temporal-Spatial Tubelet Embedding for Cloud-Robust MSI Reconstru...

Cloud cover in multispectral imagery (MSI) significantly hinders early-season crop mapping by corrupting spectral information. Existing Vision Transformer(ViT)-based time-series reconstruction methods...

http://arxiv.org/abs/2406.18866v1

Tent Carleson measures and superposition operators on Hardy type ...

In this paper, we completely characterize the positive Borel measures $μ$ on the unit ball $\mathbb{B}_n$ of $\mathbb{C}^n$ such that the Carleson embedding from holomorphic Hardy type tent spaces $\...

http://arxiv.org/abs/1905.03041v2

Tag2Vec: Learning Tag Representations in Tag Networks

Network embedding is a method to learn low-dimensional representation vectors for nodes in complex networks. In real networks, nodes may have multiple tags but existing methods ignore the abundant sem...

https://www.bing.com/ck/a?!&&p=5b77f50a4d138ea50a500184d26573628e3e1026fee6c5a951f0c392c719c014JmltdHM9MTc3Mjg0MTYwMA&ptn=3&ver=2&hsh=4&fclid=2cb4daa5-bc38-621b-13ff-cdb0bdaa6301&u=a1aHR0cHM6Ly9zdGFja292ZXJmbG93LmNvbS9xdWVzdGlvbnMvNzYzNzIyMjUvdXNlLWxsYW1haW5kZXgtd2l0aC1kaWZmZXJlbnQtZW1iZWRkaW5ncy1tb2RlbA&ntb=1

Use LlamaIndex with different embeddings model - Stack Overflow

May 31, 2023 · Use LlamaIndex with different embeddings model Asked 2 years, 9 months ago Modified 1 year, 8 months ago Viewed 15k times

https://www.bing.com/ck/a?!&&p=0c088df2509d5bd8ad3824dc59f47785836c6fdba202670b4b39ef1e81838fd3JmltdHM9MTc3Mjg0MTYwMA&ptn=3&ver=2&hsh=4&fclid=3a486a1a-cab9-6ac3-2fca-7d0fcb9c6b63&u=a1aHR0cHM6Ly9zdGFja292ZXJmbG93LmNvbS9xdWVzdGlvbnMvNzYzNzIyMjUvdXNlLWxsYW1haW5kZXgtd2l0aC1kaWZmZXJlbnQtZW1iZWRkaW5ncy1tb2RlbA&ntb=1

Use LlamaIndex with different embeddings model - Stack Overflow

May 31, 2023 · Use LlamaIndex with different embeddings model Asked 2 years, 9 months ago Modified 1 year, 8 months ago Viewed 15k times

http://arxiv.org/abs/2405.09142v1

Speaker Embeddings With Weakly Supervised Voice Activity Detectio...

Current speaker diarization systems rely on an external voice activity detection model prior to speaker embedding extraction on the detected speech segments. In this paper, we establish that the atten...

http://arxiv.org/abs/2309.12871v9

AnglE-optimized Text Embeddings

High-quality text embedding is pivotal in improving semantic textual similarity (STS) tasks, which are crucial components in Large Language Model (LLM) applications. However, a common challenge existi...

https://github.com/SeanLee97/AnglE

SeanLee97/AnglE

Train and Infer Powerful Sentence Embeddings with AnglE | 🔥 SOTA on STS and MTEB Leaderboard (⭐ 566)

http://arxiv.org/abs/2202.07919v3

HousE: Knowledge Graph Embedding with Householder Parameterizatio...

The effectiveness of knowledge graph embedding (KGE) largely depends on the ability to model intrinsic relation patterns and mapping properties. However, existing approaches can only capture some of t...

https://github.com/iunera/nlweb-js-client

iunera/nlweb-js-client

A streaming chat interface client library for embedding AI-powered chat functionality in web applications. (⭐ 3)

http://arxiv.org/abs/0910.5647v1

The fundamental group of a locally finite graph with ends

We characterize the fundamental group of a locally finite graph G with ends combinatorially, as a group of infinite words. Our characterization gives rise to a canonical embedding of this group in the...

http://arxiv.org/abs/2602.14943v2

Edge-ends versus topological ends of graphs

Diestel and Kühn proved that the topological ends of an infinite graph are precisely its undominated graph ends, yielding a canonical embedding of the space of topological ends into the space of grap...

http://arxiv.org/abs/2004.06842v1

Layered Graph Embedding for Entity Recommendation using Wikipedia...

In this paper, we describe an embedding-based entity recommendation framework for Wikipedia that organizes Wikipedia into a collection of graphs layered on top of each other, learns complementary enti...

https://github.com/ricjuanflores/subauto

ricjuanflores/subauto

CLI tool for transcribing, translating, and embedding subtitles in videos using Gemini AI (⭐ 8)

http://arxiv.org/abs/2110.13624v3

Technology Fitness Landscape for Design Innovation: A Deep Neural...

Technology is essential to innovation and economic prosperity. Understanding technological changes can guide innovators to find new directions of design innovation and thus make breakthroughs. In this...

http://arxiv.org/abs/1906.05990v1

Divide and Conquer the Embedding Space for Metric Learning

Learning the embedding space, where semantically similar objects are located close together and dissimilar objects far apart, is a cornerstone of many computer vision applications. Existing approaches...