background vermilion irregularities are common secondary deformities after cleft lip repair, regressed or resected hemangiomas, trauma and tumor surgeries. vermilion deficiency attracts considerable attention and detracts from an otherwise excellent lip repair. minor and moderate vermilion defects can be corrected with upper lip advancement, rotation flaps, tongue flaps or grafts. major defects...

Cross-modal clustering (CMC) aims to enhance the performance by exploring complementary information from multiple modalities. However, performances of existing CMC algorithms are still unsatisfactory due conflict heterogeneous modalities and high-dimensional non-linear property individual modality. In this paper, a novel deep mutual maximin (DMIM) method for cross-modal is proposed maximally pr...

Each parameter w in an abstract parameter space W is associated with a di er ent probability distribution on a set Y A parameter w is chosen at random from W according to some a priori distribution on W and n conditionally indepen dent random variables Y n Y Yn are observed with common distribution determined by w Viewing W as a random variable we obtain bounds on the mutual information between...

The Mutual Exclusivity (ME) constraint – a preference for mapping one word to one object – has been shown to be a powerful aid to children learning new words. We ask whether cross-situational language learning, in which word meanings are learned through computation of word-object co-occurrences across a series of highly ambiguous trials, is subject to the ME constraint. Our results show that pa...

BACKGROUND Vermilion irregularities are common secondary deformities after cleft lip repair, regressed or resected hemangiomas, trauma and tumor surgeries. Vermilion deficiency attracts considerable attention and detracts from an otherwise excellent lip repair. Minor and moderate vermilion defects can be corrected with upper lip advancement, rotation flaps, tongue flaps or grafts. Major defect...

Learners are able to infer the meanings of words by observing the consistent statistical association between words and their referents, but the nature of the learning mechanisms underlying this process are unknown. We conducted an artificial cross-situational word learning experiment in which either words consistently appeared with multiple objects (extra object condition) or objects consistent...

In this paper, we study the cross-modal image retrieval, where inputs contain a source plus some text that describes certain modifications to and desired image. Prior work usually uses three-stage strategy tackle task: 1) extracting features of inputs; 2) fusing its modified obtain fusion feature; 3) learning similarity metric between via deep learning. Since classical image/text encoders can l...