Nativitas: 1150, 1150; Pedemontium Obitus: 4 Septembris 1207; Comotena
Officium
Munus: marquess
Familia
Genitores: Guillelmus V; Judith of Babenberg Coniunx: Elena di Bosco, Jeanne of Antioch, Margarita Hungariae Proles: William VI, Marquess of Montferrat, Demetrius of Montferrat, Agnes Montisferrati Familia: Aleramici
Insignia heraldica
Bonifacius Montisferrati (natus anno 1150; proelio interfectus die 4 Septembris 1207) fuit nobilis Italianus, filius Guillelmi V marchionis Montisferrati. Iuvenis Helenam del Bosco uxorem duxit, quae eo peperit:
Guillelmus
Beatrix Montisferrati, quae cuidam Henrico de Carretto nupsit
Agnes Montisferrati, quae imperatore Latino Henrico nupsit
Fratre Conrado anno 1192 mortuo Bonifacius ipse fit marchio. Anno 1203 Cruce signatus in quarta expeditione sacra participavit; anno insequenti Constantinopoli in matrimonium duxit Margaritam imperatoris Isaacii II vidua. Una cum illa Thessalonicam sedebat, huius urbis rex recognitus ab imperatore Latino Balduino I. Aulam Thessalonicensem frequentaverunt trobatores Raimbaldus de Vaqueiracio (qui etiam amicus Bonifacii et eques fuit) et Elias Cairel. Bonifacius e Margarita filium Demetrium genuit. Anno 1207 Bonifacius in proelio interfectus est.[1]
Filius maior natu Guillelmus marchio Montisferrati (sextus huius nominis) factus est; filius infans Demetrius fit rex Thessalonicae sub tutela matris.
Index
1Fontes de vita Bonifacii
2Notae
3Bibliographia
4Nexus externi
Fontes de vita Bonifacii |
Raimbaldus de Vaqueiracio, Epistula epica
Galfridus de Villa Harduini, La conquête de Constantinople
Notae |
↑Galfridus de Villa Harduini, La conquête de Constantinople 498-500
Bibliographia |
"Bonifàcio I marchese di Monferrato" in L'enciclopedia italiana
Axel Goria, "Bonifacio I, marchese di Monferrato" in Dizionario Biografico degli Italiani vol. 12 (1971)
Nexus externi |
"Bonifazio di Monferrato" e Medieval Lands (situs a Carolo Cawley elaboratus apud FMG)
Tabula multilinguis Rosettana in Museo Britannico ostenditur. Tabula Rosettana, [1] etiam titulo OGIS 90 agnita, est stela decreto de rebus sacris in Aegypto anno 196 a.C.n. lato inscripta. Tabula iuxta Rosettam Aegypti, urbem in delta Nili et ad oram maris Mediterranei iacentem, anno 1799 a milite Francico reperta est. Inventio stelae, linguis duabus scripturisque tribus inscriptae, eruditis Instituti Aegypti statim nuntiata est; ibi enim iussu imperatoris Napoleonis eruditi omnium scientiarum (sub aegide Commissionis Scientiarum et Artium) properaverant cum expeditione Francica. Qua a Britannis mox debellata, tabula Rosettana Londinium missa hodie apud Museum Britannicum iacet. Textus Graecus cito lectus interpretationi textuum Aegyptiorum (in formis hieroglyphica et demotica expressorum) gradatim adiuvit. Denique textum plene interpretatus est Ioannes Franciscus Champollion. Ab opere eruditorum cumulativo coepit hodiernus scripturae hieroglyphicae linguaeque Aegyptiae a...
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This is what I mean as document text image: I want to label the texts in image as separate blocks and my model should detect these labels as classes. NOTE: This is how the end result should be like: The labels like Block 1, Block 2, Block 3,.. should be Logo, Title, Date,.. Others, etc. Work done: First approach : I tried to implement this method via Object Detection, it didn't work. It didn't even detect any text. Second approach : Then I tried it using PixelLink. As this model is build for scene text detection, it detected each and every text in the image. But this method can detect multiple lines of text if the threshold values are increased. But I have no idea how do I add labels to the text blocks. PIXEL_CLS_WEIGHT_all_ones = 'PIXEL_CLS_WEIGHT_all_ones' PIXEL_C...
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I have this LSTM model model = Sequential() model.add(Masking(mask_value=0, input_shape=(timesteps, features))) model.add(LSTM(100, dropout=0.2, recurrent_dropout=0.2, return_sequences=False)) model.add(Dense(features, activation='softmax')) model.compile(loss='categorical_crossentropy', optimizer='adam', metrics=['accuracy']) and shapes X_train (21, 11, 5), y_train (21, 5) . Each timestep is represented by 5 features and return_sequences is set to False because I want to predict one 5D array (the next timestep) for each input sequence of 11 timesteps. I get the error ValueError: y_true and y_pred have different number of output (5!=1) If I reshape the data as X_train (21, 11, 5), y_train (21, 1, 5) instead I get the error ValueError: Inva...