Abstract: In certain embodiments, content items may be obtained, where each of the content items may include multiple data types. Machine learning models may be caused to be trained based on the content items to map data in a vector space by providing at least a first portion of each of the content items as input to at least one of the machine learning models and providing at least a second portion of each of the content items as input to at least another one of the machine learning models. A search request for results may be obtained, where the search request includes search parameters. One or more locations within the vector space may be predicted (e.g., by one or more of the machine learning models) based on the search parameters. Information (indicating content items mapped to or proximate the predicted locations) may be provided as a request response.

Abstract: In certain embodiments, content items may be obtained, where each of the content items may include multiple data types. Machine learning models may be caused to be trained based on the content items to map data in a vector space by providing at least a first portion of each of the content items as input to at least one of the machine learning models and providing at least a second portion of each of the content items as input to at least another one of the machine learning models. A search request for results may be obtained, where the search request includes search parameters. One or more locations within the vector space may be predicted (e.g., by one or more of the machine learning models) based on the search parameters. Information (indicating content items mapped to or proximate the predicted locations) may be provided as a request response.

Abstract: In certain embodiments, content items may be obtained, where each of the content items may include multiple data types. Machine learning models may be caused to be trained based on the content items to map data in a vector space by providing at least a first portion of each of the content items as input to at least one of the machine learning models and providing at least a second portion of each of the content items as input to at least another one of the machine learning models. A search request for results may be obtained, where the search request includes search parameters. One or more locations within the vector space may be predicted (e.g., by one or more of the machine learning models) based on the search parameters. Information (indicating content items mapped to or proximate the predicted locations) may be provided as a request response.

Abstract: Systems, methods and computer-accessible mediums for modifying an image(s) can be provided. For example, first image information for the image(s) can be received. Second image information can be generated by separating the first image information into at least two overlapping images. The image(s) can be modified using a prediction procedure based on the second image information.

Abstract: Systems, methods and computer-accessible mediums for modifying an image(s) can be provided. For example, first image information for the image(s) can be received. Second image information can be generated by separating the first image information into at least two overlapping images. The image(s) can be modified using a prediction procedure based on the second image information.

Abstract: Systems, methods and computer-accessible mediums for modifying an image(s) can be provided. For example, first image information for the image(s) can be received. Second image information can be generated by separating the first image information into at least two overlapping images. The image(s) can be modified using a prediction procedure based on the second image information.

Abstract: Systems, methods and computer-accessible mediums for modifying an image(s) can be provided. For example, first image information for the image(s) can be received. Second image information can be generated by separating the first image information into at least two overlapping images. The image(s) can be modified using a prediction procedure based on the second image information.