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Retrieval Augmented Modeling
Till this point in our book, we have discussed the fundamental principles of information retrieval, exploring its key elements, and various...
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Multimodal Information Retrieval
In today’s rapidly evolving digital landscape, the wealth of available information has expanded beyond the boundaries of traditional text-based...
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Outlook
While multimodal information retrieval has several exciting applications and a high potential for impact on important problems, there are several...
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Multimodal Content Generation
In this chapter, we will review the advances that are being made in this new field of multimodal content generation and also discuss several...
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Transformer-Driven Models for Language, Vision, and Multimodality
In this chapter, we will learn about the modeling and learning techniques that drive multimodal applications. We will focus specifically on the...
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Introduction
In this book, our emphasis is on multimodal information retrieval, specifically concentrating on text and image data. The traditional unimodal...
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Multi-agent Game Domain: Monopoly
In the previous chapters we have looked at the visual domain and single-agent environments for action domains. In this chapter, we will apply the...
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Binary Linear Codes via Zeon and Sym-Clifford Algebras
Zeon algebras have proven to be useful for enumerating structures in graphs, such as paths, trails, cycles, matchings, cliques, and independent sets....
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Inner Product of Two Oriented Points in Conformal Geometric Algebra
We study the inner product of oriented points in conformal geometric algebra and its geometric meaning. The notion of oriented point is introduced...
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Hints and Expected Results for Exercises
Task 1 requires data on the frequency of words. We, therefore, need frequency lists of English words (see p. 213). It also requires comparing...
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Ontologies and Conceptual Graphs
In the previous chapter, we have presented Description Logics. In this chapter, we turn to ontologies, i.e., “ ‘implementation versions’ of...
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XML, TEI, CDL
In this chapter, we will consider the eXtensible Markup Language (XML) and three of its applications relevant to Natural Language Processing: the...
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Unifying Organizations’ Machine Learning Vision
Data is growing at an unprecedented rate, and as discussed in previous chapters, businesses are struggling to keep up with the demands of scaling...
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Operationalizing Your Machine Learning Solution
Artificial intelligence (AI) presents a significant opportunity for companies to transform their operations. With AI, companies can create...
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Contextual and Semantic Novelty in Text
Novelty, anomaly, or out-of-distribution (OOD) detection has been an active research area for decades, since the 1960s [1, 2], due to its widespread...
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Prostate Segmentation Using Multiparametric and Multiplanar Magnetic Resonance Images
Diseases related to the prostate and distal urethra, such as prostate cancer, benign prostatic hyperplasia and urinary incontinence, may be detected...
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Unlocking Fine-Grained Details with Wavelet-Based High-Frequency Enhancement in Transformers
Medical image segmentation is a critical task that plays a vital role in diagnosis, treatment planning, and disease monitoring. Accurate segmentation...
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Multi-modal Adapter for Medical Vision-and-Language Learning
Recently, medical vision-and-language learning has attracted great attention from biomedical communities. Thanks to the development of large...
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Self-training with Domain-Mixed Data for Few-Shot Domain Adaptation in Medical Image Segmentation Tasks
Deep learning has shown significant progress in medical image analysis tasks such as semantic segmentation. However, deep learning models typically...